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Fetching data with Dgraph Query Language (DQL), is done through DQL Queries. Adding, modifying or deleting data is done through DQL Mutations. This overview explains the structure of DQL Queries and provides links to the appropriate DQL reference documentation.

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DQL query structure

DQL is declarative, which means that queries return a response back in a similar shape to the query. It gives the client app the control of what it gets: the request return exactly what you ask for, nothing less and nothing more. In this, DQL is similar to GraphQL from which it’s inspired. A DQL query finds nodes based on search criteria, matches patterns in the graph and returns the node attributes, relationships specified in the query. A DQL query has
  • an optional parameterization, ie a name and a list of parameters
  • an opening curly bracket
  • at least one query block, but can contain many blocks
  • optional var blocks
  • a closing curly bracket
DQL Query with parameterization

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Query parameterization

Parameters
  • must have a name starting with a $ symbol.
  • must have a type int, float, bool or string.
  • may have a default value. In the example below, $age has a default value of 95
  • may be mandatory by suffixing the type with a !. Mandatory parameters can’t have a default value.
Variables can be used in the query where a string, float, int or bool value are needed. You can also use a variable holding uids by using a string variable and by providing the value as a quoted list in square brackets:
query title($uidsParam: string = "[0x1, 0x2, 0x3]") { ... }. Error handling When submitting a query using parameters, Dgraph responds with errors if
  • A parameter value is not parsable to the given type.
  • The query is using a parameter that is not declared.
  • A mandatory parameter is not provided
The query parameterization is optional. If you don’t use parameters you can omit it and send only the query blocks. DQL Query without parameters
The current documentation is usually using example of queries without parameters.
If you execute this query in our Movies demo database you can see that Dgraph will return a JSON structure similar to the request : DQL response structure

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Query block

A query block specifies information to retrieve from Dgraph. A query block
  • must have name
  • must have a node criteria defined by the keyword func:
  • may have ordering and pagination information
  • may have a combination of filters (to apply to the root nodes)
  • must provide the list of attributes and relationships to fetch for each node matching the root nodes.
Refer to pagination and ordering for more information. For each relationships to fetch, the query is using a nested block. A nested block
  • may specify filters to apply on the related nodes
  • may specify criteria on the relationships attributes using filtering on facets)
  • provides the list of relationship attributes (facets)) to fetch.
  • provides the list of attributes and relationships to fetch for the related nodes.
A nested block may contain another nested block, and such at any level.

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Multiple query blocks

Inside a single query, multiple query blocks are allowed, and each block can have a name. Multiple query blocks are executed in parallel, and they don’t need to be related in any way. Query Example: “All of Angelina Jolie’s films, with genres, and Peter Jackson’s films since 2008” 
{
  AngelinaInfo(func: allofterms(name@en, "angelina jolie")) {
    name@en actor.film { performance.film { genre { name@en } } }
  }

  DirectorInfo(func: eq(name@en, "Peter Jackson")) {
    name@en director.film
    @filter(ge(initial_release_date, "2008")) { Release_date: initial_release_date
    Name: name@en }
  }
}
If queries contain some overlap in answers, the result sets are still independent. Query Example: “The movies Mackenzie Crook has acted in and the movies Jack Davenport has acted in” The results sets overlap because both have acted in the Pirates of the Caribbean movies, but the results are independent and both contain the full answers sets. 
{
  Mackenzie(func:allofterms(name@en, "Mackenzie Crook")) {
    name@en actor.film { performance.film { uid name@en } performance.character {
    name@en } }
  }

  Jack(func:allofterms(name@en, "Jack Davenport")) { name@en actor.film {
  performance.film { uid name@en } performance.character { name@en } } }
}

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Variable (var) blocks

Variable blocks (var blocks) start with the keyword var and are not returned in the query results, but do affect the contents of query results. Query Example: “Angelina Jolie’s movies ordered by genre” 
{
  var(func:allofterms(name@en, "angelina jolie")) {
    name@en actor.film { A AS performance.film { B AS genre } }
  }

  films(func: uid(B), orderasc: name@en) { name@en ~genre @filter(uid(A)) {
  name@en }
  }
}

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Multiple var blocks

You can also use multiple var blocks within a single query operation. You can use variables from one var block in any of the subsequent blocks, but not within the same block. Query Example: “Movies containing both Angelina Jolie and Morgan Freeman sorted by name” 
{
  var(func:allofterms(name@en, "angelina jolie")) {
    name@en actor.film { A AS performance.film }
  }

  var(func:allofterms(name@en, "morgan freeman")) {
    name@en actor.film { B as performance.film @filter(uid(A)) }
  }

  films(func: uid(B), orderasc: name@en) {
    name@en
  }
}

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Combining multiple var blocks

You could get the same query results by logically combining both var blocks in the films block, as follows: 
{
  var(func:allofterms(name@en, "angelina jolie")) {
    name@en actor.film { A AS performance.film }
  }

  var(func:allofterms(name@en, "morgan freeman")) {
    name@en actor.film { B as performance.film }
  }
  films(func: uid(A,B), orderasc: name@en) @filter(uid(A) AND uid(B)) { name@en }
}
The root uid function unions the uids from var A and B, so you need a filter to intersect the uids from var A and B.

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Escape characters in predicate names

If your predicate has special characters, wrap it with angular brackets < > in the query. E.g. <https://myschema.org#name>

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Formatting options

Dgraph returns the attributes and relationships that you specified in the query. You can specify an alternate name for the result by using [ You can flatten the response structure at any level using @normalize directive. Entering the list of all the attributes you want to fetch could be fastidious for large queries or repeating blocks : you may take advantage of fragments and the expand function.

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Node criteria (used by root function or by filter)

Root criteria and filters are using functions applied to nodes attributes or variables. Dgraph offers functions for
  • testing string attributes
  • testing attribute value
  • testing if a node
    • has a particular predicate (an attribute or a relation) : has
    • has a given UID : [uid](./functions#uid)
    • has a relationship to a given node : uid_in
    • is of a given type : type()
  • testing the number of node relationships
  • testing geolocation attributes
    • if geo location is within distance : near
    • if geo location lies within a given area : within
    • if geo area contains a given location : contains
    • if geo area intersects a given are : intersects

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Variable (var) block

Variable blocks (var blocks) start with the keyword var instead of a block name. var blocks are not reflected in the query result. They are used to compute query-variables which are lists of node UIDs, or value-variables which are maps from node UIDs to the corresponding scalar values. Note that query-variables and value-variables can also be computed in query blocks. In that case, the query block is used to fetch and return data, and to define some variables which must be used in other blocks of the same query. Variables may be used as functions parameters in filters or root criteria in other blocks.

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Summarizing functions

When dealing with array attributes or with relationships to many node, the query may use summary functions count , min, max, avg or sum. The query may also contain mathematical functions on value variables. Summary functions can be used in conjunction with @grouby directive to create aggregated value variables. The query may contain anonymous block to return computed values. Anonymous block don’t have a root criteria as they are not used to search for nodes but only to returned computed values.

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Graph traversal

When you specify nested blocks and filters you basically describe a way to traverse the graph. @recurse and @ignorereflex are directives used to optionally configure the graph traversal.

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Pattern matching

Queries with nested blocks with filters may be turned into pattern matching using @cascade directive : nodes that don’t have all attributes and all relationships specified in the query at any sub level are not considered in the result. So only nodes “matching” the complete query structure are returned.

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Graph algorithms

The query can ask for the shortest path between a source (from) node and destination (to) node using the shortest query block.

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