ArangoDB v3.9 reached End of Life (EOL) and is no longer supported.
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Basics and Terminology
Documents in ArangoDB are JSON objects. These objects can be nested (to any depth) and may contain lists. Each document has a unique primary key which identifies it within its collection. Furthermore, each document is uniquely identified by its document handle across all collections in the same database. Different revisions of the same document (identified by its handle) can be distinguished by their document revision. Any transaction only ever sees a single revision of a document. For example:
{
"_id" : "myusers/3456789",
"_key" : "3456789",
"_rev" : "14253647",
"firstName" : "John",
"lastName" : "Doe",
"address" : {
"street" : "Road To Nowhere 1",
"city" : "Gotham"
},
"hobbies" : [
{"name": "swimming", "howFavorite": 10},
{"name": "biking", "howFavorite": 6},
{"name": "programming", "howFavorite": 4}
]
}
All documents contain special attributes: the
document handle is stored
as a string in _id
, the
document’s primary key in
_key
and the
document revision in
_rev
. The value of the _key
attribute can be specified by the user when
creating a document. _id
and _key
values are immutable once the document
has been created. The _rev
value is maintained by ArangoDB automatically.
Document Handle
A document handle uniquely identifies a document in the database. It
is a string and consists of the collection’s name and the document key
(_key
attribute) separated by /
.
Document Key
A document key uniquely identifies a document in the collection it is
stored in. It can and should be used by clients when specific documents
are queried. The document key is stored in the _key
attribute of
each document. The key values are automatically indexed by ArangoDB in
a collection’s primary index. Thus looking up a document by its
key is a fast operation. The _key value of a document is
immutable once the document has been created. By default, ArangoDB will
auto-generate a document key if no _key attribute is specified, and use
the user-specified _key otherwise. The generated _key is guaranteed to
be unique in the collection it was generated for. This also applies to
sharded collections in a cluster. It can’t be guaranteed that the _key is
unique within a database or across a whole node or instance however.
This behavior can be changed on a per-collection level by creating
collections with the keyOptions
attribute.
Using keyOptions
it is possible to disallow user-specified keys
completely, or to force a specific regime for auto-generating the _key
values.
Document Revision
###
Every document in ArangoDB has a revision, stored in the system attribute
_rev
. It is fully managed by the server and read-only for the user.
Its value should be treated as opaque, no guarantees regarding its format
and properties are given except that it will be different after a
document update. More specifically, _rev
values are unique across all
documents and all collections in a single server setup. In a cluster setup,
within one shard it is guaranteed that two different document revisions
have a different _rev
string, even if they are written in the same
millisecond.
The _rev
attribute can be used as a pre-condition for queries, to avoid
lost update situations. That is, if a client fetches a document from the server,
modifies it locally (but with the _rev
attribute untouched) and sends it back
to the server to update the document, but meanwhile the document was changed by
another operation, then the revisions do not match anymore and the operation
is cancelled by the server. Without this mechanism, the client would
accidentally overwrite changes made to the document without knowing about it.
When an existing document is updated or replaced, ArangoDB will write a new version of this document to the write-ahead logfile (regardless of the storage engine). When the new version of the document has been written, the old version(s) will still be present, at least on disk. The same is true when an existing document (version) gets removed: the old version of the document plus the removal operation will be on disk for some time.
On disk it is therefore possible that multiple revisions of the same document
(as identified by the same _key
value) exist at the same time. However,
stale revisions are not accessible. Once a document was updated or removed
successfully, no query or other data retrieval operation done by the user
will be able to see it any more. Furthermore, after some time, old revisions
will be removed internally. This is to avoid ever-growing disk usage.
From a user perspective, there is just one single document revision
present per different _key
at every point in time. There is no built-in
system to automatically keep a history of all changes done to a document
and old versions of a document can not be restored via the _rev
value.
Multiple Documents in a single Command
The document API can handle not only single documents but multiple documents in a single command. This is crucial for performance, in particular in the cluster situation, in which a single request can involve multiple network hops within the cluster. Another advantage is that it reduces the overhead of individual network round trips between the client and the server. The general idea to perform multiple document operations in a single command is to use JSON arrays of objects in the place of a single document. As a consequence, document keys, handles and revisions for preconditions have to be supplied embedded in the individual documents given. Multiple document operations are restricted to a single document or edge collection. See the API descriptions for collection objects for details. Note that the API for database objects do not offer these operations.