ArangoDB v3.13 is under development and not released yet. This documentation is not final and potentially incomplete.
Stream Transactions
Stream Transactions allow you start a transaction, run multiple operations like AQL queries over a short period of time, and then commit or abort the transaction
Stream Transactions allow you to perform multi-document transaction with individual begin and commit / abort commands. This is comparable to the BEGIN, COMMIT and ROLLBACK operations found in relational database systems.
Stream Transaction work in conjunction with other operations in ArangoDB. Supported operations include:
- Read and write documents
- Get the number of documents of collections
- Truncate collections
- Run AQL queries
You always need to start the transaction first and explicitly specify the collections used for write accesses upfront. You need to make sure that the transaction is committed or aborted when it is no longer needed. This avoids taking up resources on the ArangoDB server.
For a more detailed description of how transactions work in ArangoDB, please refer to Transactions.
You can use Stream Transactions via the JavaScript API and the HTTP API.
Limitations
Timeout and transaction size
A maximum lifetime and transaction size for Stream Transactions is enforced on the Coordinator to ensure that abandoned transactions cannot block the cluster from operating properly:
- Maximum idle timeout of up to 120 seconds between operations.
- Maximum transaction size with a default of 128 MiB (per DB-Server in clusters).
These limits are also enforced for Stream Transactions on single servers.
The maximum size for a single Stream Transaction can be adjusted with the
--transaction.streaming-max-transaction-size
startup option.
The default maximum idle timeout is 60 seconds between operations in a
single Stream Transaction. The maximum value can be bumped up to at most 120
seconds by setting the --transaction.streaming-idle-timeout
startup option.
Posting an operation into a non-expired Stream Transaction resets the
transaction’s timeout to the configured idle timeout.
Enforcing the limit is useful to free up resources used by abandoned transactions, for example from transactions that are abandoned by client applications due to programming errors or that were left over because client connections were interrupted.
Concurrent requests
A given transaction is intended to be used serially. No concurrent requests
using the same transaction ID should be issued by the client. The server can
make some effort to serialize certain operations (see
Streaming Lock Timeout),
however, this degrades the server’s performance and may lead to sporadic
errors with code 28
(locked).
JavaScript API
Create Transaction
db._createTransaction(options) → trx
Begin a Stream Transaction.
options
must be an object with the following attributes:
collections
: A sub-object that defines which collections you want to use in the transaction. It can have the following sub-attributes:read
: A single collection or a list of collections to use in the transaction in read-only mode.write
: A single collection or a list of collections to use in the transaction in write or read mode.exclusive
: A single collection or a list of collections to acquire exclusive write access for.
Additionally, options
can have the following optional attributes:
allowImplicit
: Allow reading from undeclared collections.waitForSync
: An optional boolean flag that, if set, forces the transaction to write all data to disk before returning.lockTimeout
: A numeric value that can be used to set a timeout in seconds for waiting on collection locks. This option is only meaningful when usingexclusive
locks. If not specified, a default value is used. SettinglockTimeout
to0
makes ArangoDB not time out waiting for a lock.maxTransactionSize
: Transaction size limit in bytes. Can be at most the value of the--transaction.streaming-max-transaction-size
startup option.skipFastLockRound
: Whether to disable fast locking for write operations (default:false
).Skipping the fast lock round can be faster overall if there are many concurrent Stream Transactions queued that all try to lock the same collection exclusively. It avoids deadlocking and retrying which can occur with the fast locking by guaranteeing a deterministic locking order at the expense of each actual locking operation taking longer.
Fast locking should not be skipped for read-only Stream Transactions because it degrades performance if there are no concurrent transactions that use exclusive locks on the same collection.
The method returns an object that lets you run supported operations as part of the transactions, get the status information, and commit or abort the transaction.
The following example shows how you can remove a document from a collection and create a new document in the same collection using a Stream Transaction:
var coll = "tasks";
var trx = db._createTransaction({ collections: { write: [coll] } });
var task = trx.query(`FOR t IN @@coll SORT t.date DESC LIMIT 1 RETURN t`, {"@coll": coll}).toArray()[0];
if (task) {
print(task);
trx.collection(coll).remove(task._key);
var newTask = trx.collection(coll).save({ _key: "124", type: task.type, date: new Date().toISOString() }, { returnNew: true }).new;
print(newTask);
trx.commit();
} else {
trx.abort();
}
trx.status();
Commit
trx.commit() → status
Commit a Stream Transaction and return the status.
Committing is an idempotent operation. It is not an error to commit a transaction more than once.
Abort
trx.abort() → status
Abort a Stream Transaction and return the status.
Aborting is an idempotent operation. It is not an error to abort a transaction more than once.
Collection
trx.collection(collection-name) → coll
Return a collection object for the specified collection, or null if it does not exist.
The object lets you access the following methods to perform document and collection operations:
Compared to the collection object returned by db._collection()
, only a subset
of methods is available, and the operations are executed as part of the
Stream Transactions, but they work the same otherwise.
Query
trx.query(aql-query) → cursor
Run an AQL query as part of a Stream Transaction and return a result cursor.
The method works similar to the
db._query()
method.
ID
trx.id() → id
Get the identifier of the Stream Transaction.
Running
trx.running() → bool
Return a boolean that indicates whether the Stream Transaction is on-going.
Status
trx.status() → status
Return an object with the status information of the Stream Transaction. The object has the following attributes:
id
: The identifier of the Stream Transaction.status
: The status of the Stream Transaction. One of"running"
,"committed"
, or"aborted"
.
HTTP API
See the HTTP Interface for Stream Transactions documentation.