Native (Erlang)

This page describes the native Erlang API of Antidote.

Clients can invoke these functions via RPC. A more convenient but restricted way for client applications to interact with Antidote is the protocol buffer interface:

pageProtocol Buffer API

CRDTs

Antidote provides a library of CRDTs. The interface of these CRDTs specify the operations and the parameters that can be used for inspection and modification of shared objects. In the following, we specify the supported {operation(), op_param()} pair for each of the supported CRDTs. The first element in the tuple specifies the update operation, and the second item indicates the corresponding parameters.

antidote_crdt_counter_pn

{increment, integer()}
{decrement, integer()}

antidote_crdt_set_aw

{add, term()}
{remove, term()}
{add_all, [term()]}
{remove_all, [term()]}

antidote_crdt_gset

{add, {term(), actor()}}
{remove, {term(), actor()}}
{add_all, {[term()], actor()}}
{remove_all, {[term()], actor()}}

antidote_crdt_register_lww

{assign, {term(), non_neg_integer()}}
{assign, term()}.

antidote_crdt_map_rr

{update, {[map_field_update() | map_field_op()], actorordot()}}.

-type actorordot() :: riak_dt:actor() | riak_dt:dot().
-type map_field_op() ::  {remove, field()}.
-type map_field_update() :: {update, field(), crdt_op()}.
-type crdt_op() :: term(). %% Valid riak_dt updates
-type field() :: term()

antidote_crdt_register_mv

{assign, {term(), non_neg_integer()}}
{assign, term()}
{propagate, {term(), non_neg_integer()}}

antidote_crdt_rga

{addRight, {any(), non_neg_integer()}}
{remove, non_neg_integer()}

Transactions

A unit of operation in Antidote is a transaction. A client should first start a transaction, then read and/or update several objects, and finally commit the transaction.

There are two types of transactions: interactive transactions and static transactions.

Interactive transactions

With an interactive transaction, a client can execute several updates and reads before committing the transactions. The interface of interactive transaction is:

type bound_object() = {key(), crdt_type(), bucket()}.
type snapshot_time() = vectorclock() | ignore.
type reason() = term().

start_transation(snapshot_time(), properties()) -> {ok, txid()} | {error, reason()}.

update_objects([{bound_object(), operation(), op_param()}], txid()) -> ok | {error, reason()}.

read_objects([bound_object()], TxId) -> {ok, [term()]}.

commit_transaction(txid()) -> {ok, vectorclock()} | {error, reason()}.

Example

CounterObj = {my_counter, antidote_crdt_counter_pn, my_bucket},

%% Read and increment counter by 1
{ok, TxId} = rpc:call(Node, antidote, start_transaction, [ignore, []]),
{ok, [CounterVal]} = rpc:call(Node, antidote, read_objects, [[CounterObj], TxId]),
ok = rpc:call(Node, antidote, update_objects, [[{CounterObj, increment, 1}], TxId]),
{ok, CT} = rpc:call(Node, antidote, commit_transaction, [TxId]),

%% Start a new transaction
{ok, TxId2} = rpc:call(Node, antidote, start_transaction, [CT, []]),

Static transactions

Static transactions consist of a single bulk operation. There are two different types:

  • A client can issue a single call to update multiple objects atomically.

type bound_object() = {key(), crdt_type(), bucket()}.
type snapshot_time() = vectorclock() | ignore.

update_objects(snapshot_time(), properties(), [{bound_object(), operation(), op_param()}]) ->
                {ok, vectorclock()} | {error, reason()}.
  • A client can issue a single call to read to multiple objects from the same consistent snapshot.

read_objects(snapshot_time(), properties(), [bound_object()]) -> {ok, [term()], vectorclock()}.

It is not possible to read and update in the same transaction.

Example

CounterObj = {my_counter, antidote_crdt_counter_pn, my_bucket},
SetObj = {my_set, antidote_crdt_set_aw, my_bucket},
{ok, CT1} = rpc:call(Node, antidote, update_objects, [ignore, [], [{CounterObj, increment, 1}]]),
{ok, Result, CT2} = rpc:call(Node, antidote, read_objects, [CT1, [], [CounterObj, SetObj]]),
[CounterVal, SetVal] = Result.

Cluster management

An Antidote data center (DC) is a cluster of multiple antidote nodes. Antidote deployment can have multiple DCs where each DCs is a full replica. The cluster management API provides functions to create DCs and connect them.

Example

If 6 antidote nodes have already started, we can create two DCs with 3 nodes each as follows:

rpc:call('antidote@node1', antidote_dc_manager, create_dc, [['antidote@node1', 'antidote@node2', 'antidote@node3']]),
rpc:call('antidote@node4', antidote_dc_manager, create_dc, [['antidote@node4', 'antidote@node5', 'antidote@node6']]).

If there is only one node in a DC, you can skip above step. Do not add a node to 2 different DCs.

To connect two DCs:

{ok, Descriptor1} = rpc:call(AnyNodeFromDC1, antidote_dc_manager, get_connection_descriptor, []),
{ok, Descriptor2} = rpc:call(AnyNodeFromDC2, antidote_dc_manager, get_connection_descriptor, []),
Descriptors = [Descriptor1, Descriptor2],
rpc:call('antidote@node1', antidote_dc_manager, subscribe_updates_from, [Descriptors]),
rpc:call('antidote@node4', antidote_dc_manager, subscribe_updates_from, [Descriptors]).

Every DC must subscribe from every other DCs. If there are 3 DCs, execute subscribe_updates_from on each DC with the same Descriptors list.

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