dgraph 1.1.2 dgraph: ^1.1.2 copied to clipboard
Dgraph dart client.
dgraph #
Dgraph Dart client which communicates with the server using gRPC.
Before using this client, we highly recommend that you go through tour.dgraph.io and docs.dgraph.io to understand how to run and work with Dgraph.
Table of contents #
Supported Versions #
Depending on the version of Dgraph that you are connecting to, you will have to use a different version of this client.
Dgraph version | dgraph client version |
---|---|
dgraph 1.0.X | dgraph client 0.5.0 |
dgraph 1.1.X | dgraph client 1.1.X |
Note: One of the most important API breakages from dgraph client v0.5.0 to v1.1.X is in
the function Txn.Mutate
. This function returns an api.Assigned
value until v0.5.0 but an api.Response
in v1.1.X.
Using a client #
Create a client #
dgraphClient
object can be initialised by passing it a list of api.DgraphApi
clients as
variadic arguments. Connecting to multiple Dgraph servers in the same cluster allows for better
distribution of workload.
The following code snippet shows just one connection.
DgraphRpcClient rpcClient =
DgraphRpcClient("localhost", 9080, const ChannelCredentials.insecure());
Dgraph dgraphClient = dgraph.NewDgraphClient(api.DgraphApi(rpcClient));
Altering the database #
To set the schema, create an instance of api.Operation
and use the Alter
endpoint.
api.Operation operation = api.Operation();
operation.schema = """
name: string @index(exact) .
""";
await dgraphClient.Alter(clientContext, operation);
Operation
contains other fields as well, including dropAttr
and dropAll
.
dropAll
is useful if you wish to discard all the data, and start from a clean
slate, without bringing the instance down. dropAttr
is used to drop all the data
related to a predicate.
Creating a transaction #
To create a transaction, call dgraphClient.NewTxn()
, which returns a Txn
object. This
operation incurs no network overhead.
It is a good practice to call txn.Discard()
on a finally block after it is initialized.
Calling txn.Discard()
after txn.Commit()
is a no-op and you can call txn.Discard()
multiple
times with no additional side-effects.
Txn txn;
ClientContext clientContext = ClientContext();
try {
txn = dgraphClient.NewTxn();
// Perform some queries and mutations.
// Commit the transaction.
} finally {
txn.Discard(clientContext);
}
Read-only transactions can be created by calling dgraphClient.NewReadOnlyTxn()
. Read-only
transactions are useful to increase read speed because they can circumvent the
usual consensus protocol. Read-only transactions cannot contain mutations and
trying to call txn.Commit()
will result in an error. Calling txn.Discard()
will be a no-op.
Running a mutation #
txn.Mutate(clientContext, mutation)
runs a mutation. It takes in a ClientContext
and a api.Mutation
object. You can set the data using JSON or RDF N-Quad format.
To use JSON, use the fields setJson and deleteJson, which accept an encoded string representing the nodes to be added or removed respectively (either as a JSON map or a list). To use RDF, use the fields setNquads and delNquads, which accept a string representing the valid RDF triples (one per line) to added or removed respectively. This protobuf object also contains the set and del fields which accept a list of RDF triples that have already been parsed into our internal format. As such, these fields are mainly used internally and users should use the setNquads and delNquads instead if they are planning on using RDF.
We define a Map to represent a Person and convert an instance of it to use with Mutation
object.
Map<String, dynamic> p = {
"uid": "_:alice",
"name": "Alice",
};
List<int> pb = utf8.encode(json.encode(p));
api.Mutation mutation = api.Mutation();
mutation.setJson = pb;
api.Request request = api.Request();
request.mutations.add(mutation);
api.Response response = await txn.Mutate(clientContext, request);
print("Response: ${response.uids}");
// {alice: 0x5}
Sometimes, you only want to commit a mutation, without querying anything further.
In such cases, you can use mutation.commitNow = true
to indicate that the
mutation must be immediately committed.
Running a query #
You can run a query by calling txn.Query(clientContext, query)
. You will need to pass in a GraphQL+- query string. If
you want to pass an additional map of any variables that you might want to set in the query, call
txn.QueryWithVars(clientContext, query, vars)
with the variables map as third argument.
Let's run the following query with a variable $a:
String query = """
query all(\$a: string) {
all(func: eq(name, \$a)) {
name
}
}
""";
api.Response response =
await txn.QueryWithVars(clientContext, query, {"\$a": "Alice"});
print("Response: ${utf8.decode(response.json)}");
// {"all":[{"name":"Alice"}]}
You can also use txn.Do
function to run a query.
request = api.Request();
request.query = query;
request.vars.addAll({"\$a": "Alice"});
response = await txn.Do(clientContext, request);
print("Response: ${utf8.decode(response.json)}");
// {"all":[{"name":"Alice"}]}
When running a schema query for predicate name
, the schema response is found
in the json
field of api.Response
as shown below:
String query = """
schema(pred: [name]) {
type
index
reverse
tokenizer
list
count
upsert
lang
}
""";
api.Response response = await txn.Query(clientContext, query);
print("Response: ${utf8.decode(response.json)}");
// {"schema":[{"predicate":"name","type":"string","index":true,"tokenizer":["exact"]}]}
Committing a transaction #
A transaction can be committed using the txn.Commit(clientContext)
method. If your transaction
consisted solely of calls to txn.Query
or txn.QueryWithVars
, and no calls to
txn.Mutate
, then calling txn.Commit
is not necessary.
An error will be returned if other transactions running concurrently modify the same data that was modified in this transaction. It is up to the user to retry transactions when they fail.
Txn txn;
ClientContext clientContext = ClientContext();
try {
txn = dgraphClient.NewTxn();
// Perform some queries and mutations.
txn.Commit(clientContext);
} catch (e) {
// Retry or handle error
}
Development #
Running tests #
Make sure you have dgraph
installed before you run the tests. This script will run the unit tests.
pub run test --concurrency=1
Updating protobuf #
To update protobuf execute the following command from the project root:
bash lib/protos/api/regenerate-proto.sh