View Source Xandra.Cluster (Xandra v0.19.2)
Connection to a Cassandra cluster.
This module is a "proxy" connection with support for connecting to multiple nodes in a Cassandra cluster and executing queries on such nodes based on a given policy.
Usage
This module manages pools of connections to different nodes in a Cassandra cluster.
Each pool is a pool of Xandra
connections to a specific node.
The API provided by this module mirrors the API provided by the Xandra
module. Queries executed through this module will be "routed" to nodes
in the provided list of nodes based on a policy. See the
"Load balancing policies" section.
Regardless of the underlying pool, Xandra.Cluster
will establish
one extra connection to a node in the cluster for internal purposes.
We refer to this connection as the control connection.
Here is an example of how one could use Xandra.Cluster
to connect to a cluster:
Xandra.Cluster.start_link(
nodes: ["cassandra1.example.net", "cassandra2.example.net"],
pool_size: 10,
)
The code above will establish a pool of ten connections to each of the nodes
specified in :nodes
, plus one extra connection used for internal
purposes, for a total of twenty-one connections going out of the machine.
Child Specification
Xandra.Cluster
implements a child_spec/1
function, so it can be used as a child
under a supervisor:
children = [
# ...,
{Xandra.Cluster, nodes: ["cassandra-seed.example.net"]}
]
Contact Points and Cluster Discovery
Xandra.Cluster
auto-discovers peer nodes in the cluster, by using the system.peers
built-in Cassandra table. Once Xandra discovers peers, it opens a pool of connections
to a subset of the peers based on the chosen load-balancing policy (see below).
The :nodes
option in start_link/1
specifies the contact points. The contact
points are used to discover the rest of the nodes in the cluster. It's generally
a good idea to provide multiple contacts points, so that if some of those are
unreachable, the others can be used to discover the rest of the cluster. Xandra.Cluster
tries to connect to contact points in the order they are specified in the :nodes
option, initially ignoring the chosen load-balancing policy. Once a connection is
established, then that contact point is used to discover the rest of the cluster
and open connection pools according to the load-balancing policy.
Xandra also refreshes the cluster topology periodically. See the
:refresh_topology_interval
option in start_link/1
.
Load-balancing Policies
Xandra.Cluster
uses customizable "load-balancing policies" to manage nodes
in the cluster. A load-balancing policy is a module that implements the
Xandra.Cluster.LoadBalancing
behaviour. Xandra uses load-balancing policies
for these purposes:
- Choosing which node to execute a query on
- Choosing which nodes to open pools of connections to (see the
:target_pools
option instart_link/1
) - Choosing which node the control connection connects to (or re-connects to in case of disconnections)
Xandra ships with the following built-in load-balancing policies:
Xandra.Cluster.LoadBalancingPolicy.Random
- it will choose one of the connected nodes at random and execute the query on that node.Xandra.Cluster.LoadBalancingPolicy.DCAwareRoundRobin
- it will execute the queries on the nodes in a round robin manner, prioritizing the current DC.
Disconnections and Reconnections
Xandra.Cluster
also supports nodes disconnecting and reconnecting: if Xandra
detects one of the nodes in :nodes
going down, it will not execute queries
against it anymore, but will start executing queries on it as soon as it
detects such node is back up.
If all specified nodes happen to be down when a query is executed, a
Xandra.ConnectionError
with reason {:cluster, :not_connected}
will be
returned.
Telemetry
Xandra.Cluster
emits several Telemetry events to help you log, instrument,
and debug your application. See the Telemetry Events
page in the guides for a comprehensive list of the events that Xandra emits.
Summary
Functions
Returns a list of hosts that the cluster has outgoing connections to.
Same as execute/4
but with optional arguments.
Executes a query on a node in the cluster.
Same as execute/3
but returns the result directly or raises in case of errors.
Same as execute/4
but returns the result directly or raises in case of errors.
Same as prepare/3
but raises in case of errors.
Runs a function with a given connection.
Starts connections to a cluster.
Synchronously stops the given cluster with the given reason.
Returns a stream of pages.
Types
@type cluster() :: GenServer.server()
A Xandra cluster.
@type start_option() :: {:nodes, [term()]} | {:load_balancing, term() | {module(), [term()]}} | {:autodiscovery, boolean()} | {:autodiscovered_nodes_port, 0..65535} | {:refresh_topology_interval, timeout()} | {:target_pools, pos_integer()} | {:name, term()} | {:sync_connect, timeout() | term()} | {:queue_checkouts_before_connecting, keyword()} | {:pool_size, pos_integer()} | {:debug, term()} | {:spawn_opt, term()} | {:hibernate_after, term()} | {:xandra_module, atom()} | {:control_connection_module, atom()} | {:test_discovered_hosts, term()}
Cluster-specific options for start_link/1
.
Some of these options are internal and not part of the public API. Only use
the options explicitly documented in start_link/1
.
Functions
@spec connected_hosts(cluster()) :: [Xandra.Cluster.Host.t()]
Returns a list of hosts that the cluster has outgoing connections to.
@spec execute(cluster(), Xandra.statement() | Xandra.Prepared.t(), Xandra.values()) :: {:ok, Xandra.result()} | {:error, Xandra.error()}
@spec execute(cluster(), Xandra.Batch.t(), keyword()) :: {:ok, Xandra.Void.t()} | {:error, Xandra.error()}
Same as execute/4
but with optional arguments.
@spec execute( cluster(), Xandra.statement() | Xandra.Prepared.t(), Xandra.values(), keyword() ) :: {:ok, Xandra.result()} | {:error, Xandra.error()}
@spec execute( cluster(), Xandra.statement() | Xandra.Prepared.t(), Xandra.values(), keyword() ) :: Xandra.result()
Executes a query on a node in the cluster.
This function executes a query on a node in the cluster. The node is chosen based
on the load-balancing policy given in start_link/1
.
Supports the same options as Xandra.execute/4
. In particular, the :retry_strategy
option is cluster-aware, meaning that queries are retried on possibly different nodes
in the cluster.
@spec execute!(cluster(), Xandra.statement() | Xandra.Prepared.t(), Xandra.values()) :: Xandra.result()
@spec execute!(cluster(), Xandra.Batch.t(), keyword()) :: Xandra.Void.t()
Same as execute/3
but returns the result directly or raises in case of errors.
Same as execute/4
but returns the result directly or raises in case of errors.
@spec prepare(cluster(), Xandra.statement(), keyword()) :: {:ok, Xandra.Prepared.t()} | {:error, Xandra.error()}
Same as Xandra.prepare/3
.
Preparing a query through Xandra.Cluster
will prepare it only on one node,
according to the load-balancing policy chosen in start_link/1
. To prepare
and execute a query on the same node, you could use run/3
:
Xandra.Cluster.run(cluster, fn conn ->
# "conn" is the pool of connections for a specific node.
prepared = Xandra.prepare!(conn, "SELECT * FROM system.local")
Xandra.execute!(conn, prepared, _params = [])
end)
Thanks to the prepared query cache, we can always reprepare the query and execute it because after the first time (on each node) the prepared query will be fetched from the cache. However, if a prepared query is unknown on a node, Xandra will prepare it on that node on the fly, so we can simply do this as well:
prepared = Xandra.Cluster.prepare!(cluster, "SELECT * FROM system.local")
Xandra.Cluster.execute!(cluster, prepared, _params = [])
Note that this goes through the cluster twice, so there's a high chance that
the query will be prepared on one node and then executed on another node.
This is however useful if you want to use the :retry_strategy
option in
execute!/4
: in the run/3
example above, if you use :retry_strategy
with
Xandra.execute!/3
, the query will be retried on the same pool of connections
to the same node. execute!/4
will retry queries going through the cluster
again instead.
@spec prepare!(cluster(), Xandra.statement(), keyword()) :: Xandra.Prepared.t()
Same as prepare/3
but raises in case of errors.
If the function is successful, the prepared query is returned directly
instead of in an {:ok, prepared}
tuple like in prepare/3
.
@spec run(cluster(), keyword(), (Xandra.conn() -> result)) :: result when result: var
Runs a function with a given connection.
The connection that is passed to fun
is a Xandra connection, not a
cluster. This means that you should call Xandra
functions on it.
Since the connection is a single connection, it means that it's a connection
to a specific node, so you can do things like prepare a query and then execute
it because you can be sure it's prepared on the same node where you're
executing it.
Examples
query = "SELECT * FROM system_schema.keyspaces"
Xandra.Cluster.run(cluster, fn conn ->
prepared = Xandra.prepare!(conn, query)
Xandra.execute!(conn, prepared, _params = [])
end)
@spec start_link([option]) :: GenServer.on_start() when option: Xandra.start_option() | start_option()
Starts connections to a cluster.
Options
This function accepts all options accepted by Xandra.start_link/1
and
and forwards them to each underlying connection or pool of connections. The following
options are specific to this function:
:nodes
(list ofString.t/0
) - A list of nodes to use as contact points when setting up the cluster. Each node in this list must be a hostname ("cassandra.example.net"
), IPv4 ("192.168.0.100"
), or IPv6 ("16:64:c8:0:2c:58:5c:c7"
) address. An optional port can be specified by including:<port>
after the address, such as"cassandra.example.net:9876"
. See the Contact points and cluster discovery section in the module documentation. The default value is["127.0.0.1"]
.:load_balancing
({module(), term()}
or:random
) - Load balancing "policy". See the Load balancing policies section in the module documentation. The policy must be expressed as a{module, options}
tuple, wheremodule
is a module that implements theXandra.Cluster.LoadBalancingPolicy
behaviour, andoptions
is any term that is passed to theXandra.Cluster.LoadBalancingPolicy.init/1
callback. This option changed in v0.15.0. Before v0.15.0, the only supported values were:priority
and:random
.:random
is deprecated in favor of using{Xandra.Cluster.LoadBalancingPolicy.Random, []}
.:priority
has been removed. The default value is:random
.:autodiscovery
(boolean/0
) - This option is deprecated. :autodiscovery is deprecated since v0.15.0 and now always enabled due to internal changes to Xandra.Cluster. (deprecated) Whether to enable autodiscovery. Since v0.15.0, this option is deprecated and autodiscovery is always enabled.:autodiscovered_nodes_port
(:inet.port_number/0
) - The port to use when connecting to autodiscovered nodes. Cassandra does not advertise the port of nodes when discovering them, so you'll need to specify one explicitly. This might get fixed in future Cassandra versions. The default value is9042
.:refresh_topology_interval
(timeout/0
) - The interval at which Xandra will refresh the cluster topology by querying the control connection to discover peers. When the connection refreshes the topology, it will also start and stop pools for new and removed nodes, effectively "syncing" with the cluster. Available since v0.15.0. The default value is300000
.:target_pools
(pos_integer/0
) - The number of nodes to start pools to. Each pool will use the:pool_size
option to determine how many single connections to open to that node. This number is a target number, which means that sometimes there might not be enough nodes to start this many pools. Xandra won't ever start more than:target_pools
pools. Available since v0.15.0. The default value is2
.:name
(term/0
) - The name to register this cluster under. Follows the name registration rules ofGenServer
.:sync_connect
- Whether to wait for at least one connection to a node in the cluster to be established before returning fromstart_link/1
. Iffalse
, connecting is async, which means that even ifstart_link/1
returns{:ok, pid}
, that's the PID of the cluster process, which has not necessarily established any connections yet. If this option is an integer or:infinity
(that is, a term of typetimeout/0
), then this function only returns when at least one node connection is established. If the timeout expires, this function returns{:error, :sync_connect_timeout}
. Available since v0.16.0.This is only useful in rare cases when you want to make sure that the has connected at least once before returning from
start_link/1
. This is fragile though, because the cluster could connect once and then drop connections right away, so this doesn't mean that the cluster is connected, but rather that it connected at least once. This is useful, for example, in test suites where you're not worried about resiliency but rather race conditions. In most cases, the:queue_checkouts_before_connecting
option is what you want.The default value is
false
.:queue_checkouts_before_connecting
(keyword/0
) - Controls how to handle checkouts that go through the cluster before the cluster is able to establish a connection to any node. Whenever you run a cluster function, the cluster checks out a connection from one of the connected nodes and executes the request on that connection. However, if you try to run any cluster function before the cluster connects to any of the nodes, you'll likely getXandra.ConnectionError
s with reason{:cluster, :not_connected}
. This is because the cluster needs to establish at least one connection to one node before it can execute requests. This option addresses this issue by queueing "checkout requests" until the cluster establishes a connection to a node. Once the connection is established, the cluster starts to hand over connections. If you want to disable this behavior, set:max_size
to0
. Available since v0.18.0. This option supports the following sub-options: The default value is[]
.:max_size
(non_neg_integer/0
) - The number of checkouts to queue in the cluster and flush as soon as a connection is established. The default value is100
.:timeout
(timeout/0
) - How long to hold on to checkout requests for. When this timeout expires, all requests are dropped and a connection error is returned to each caller. The default value is5000
.
:pool_size
(pos_integer/0
) - The number of connections to open to each node in the cluster. Available since v0.18.0. The default value is1
.:debug
(term/0
) - Same as the:debug
option inGenServer.start_link/3
. Available since v0.18.0.:spawn_opt
(term/0
) - Same as the:spawn_opt
option inGenServer.start_link/3
. Available since v0.18.0.:hibernate_after
(term/0
) - Same as the:hibernate_after
option inGenServer.start_link/3
. Available since v0.18.0.
Control connection
A
Xandra.Cluster
starts one additional "control connection" to one of the nodes in the cluster. This could be a node in the given:nodes
(a contact point) or a discovered peer in the cluster. See the Contact points and cluster discovery section in the module documentation.
Examples
Starting a Xandra cluster using two nodes as the contact points:
{:ok, cluster} =
Xandra.Cluster.start_link(nodes: ["cassandra1.example.net", "cassandra2.example.net"])
Starting a pool of five connections to each node in the same cluster as the given contact point:
{:ok, cluster} =
Xandra.Cluster.start_link(nodes: ["cassandra-seed.example.net"], pool_size: 5)
Passing options down to each connection:
{:ok, cluster} =
Xandra.Cluster.start_link(
nodes: ["cassandra.example.net"],
keyspace: "my_keyspace"
)
stop(cluster, reason \\ :normal, timeout \\ :infinity)
View Source (since 0.15.0)Synchronously stops the given cluster with the given reason.
Waits timeout
milliseconds for the cluster to stop before aborting and exiting.
@spec stream_pages!( cluster(), Xandra.statement() | Xandra.Prepared.t(), Xandra.values(), keyword() ) :: Enumerable.t()
Returns a stream of pages.
When streaming pages through a cluster, the streaming is done
from a single node, that is, this function just calls out to
Xandra.stream_pages!/4
after choosing a node appropriately.
All options are forwarded to Xandra.stream_pages!/4
, including
retrying options.