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cassandra.policies - Load balancing and Failure Handling Policies
cassandra.policies - Load balancing and Failure Handling Policies¶A measure of how “distant” a node is from the client, which may influence how the load balancer distributes requests and how many connections are opened to the node.
A node with this distance should never be queried or have connections opened to it.
Nodes with LOCAL_RACK distance will be preferred for operations
under some load balancing policies (such as RackAwareRoundRobinPolicy)
and will have a greater number of connections opened against
them by default.
This distance is typically used for nodes within the same datacenter and the same rack as the client.
Nodes with LOCAL distance will be preferred for operations
under some load balancing policies (such as DCAwareRoundRobinPolicy)
and will have a greater number of connections opened against
them by default.
This distance is typically used for nodes within the same datacenter as the client.
Nodes with REMOTE distance will be treated as a last resort
by some load balancing policies (such as DCAwareRoundRobinPolicy
and RackAwareRoundRobinPolicy)and will have a smaller number of
connections opened against them by default.
This distance is typically used for nodes outside of the datacenter that the client is running in.
Load balancing policies are used to decide how to distribute requests among all possible coordinator nodes in the cluster.
In particular, they may focus on querying “near” nodes (those in a local datacenter) or on querying nodes who happen to be replicas for the requested data.
You may also use subclasses of LoadBalancingPolicy for
custom behavior.
You should always use immutable collections (e.g., tuples or frozensets) to store information about hosts to prevent accidental modification. When there are changes to the hosts (e.g., a host is down or up), the old collection should be replaced with a new one.
Returns a measure of how remote a Host is in
terms of the HostDistance enums.
This method is called to initialize the load balancing
policy with a set of Host instances before its
first use. The cluster parameter is an instance of
Cluster.
Given a Statement instance, return a iterable
of Host instances which should be queried in that
order. A generator may work well for custom implementations
of this method.
Note that the query argument may be None when preparing
statements.
working_keyspace should be the string name of the current keyspace,
as set through Session.set_keyspace() or with a USE
statement.
This will be called after the cluster Metadata has been initialized. If the load balancing policy implementation cannot be supported for some reason (such as a missing C extension), this is the point at which it should raise an exception.
A subclass of LoadBalancingPolicy which evenly
distributes queries across all nodes in the cluster,
regardless of what datacenter the nodes may be in.
This method is called to initialize the load balancing
policy with a set of Host instances before its
first use. The cluster parameter is an instance of
Cluster.
Returns a measure of how remote a Host is in
terms of the HostDistance enums.
Given a Statement instance, return a iterable
of Host instances which should be queried in that
order. A generator may work well for custom implementations
of this method.
Note that the query argument may be None when preparing
statements.
working_keyspace should be the string name of the current keyspace,
as set through Session.set_keyspace() or with a USE
statement.
Called when a node is marked up.
Called when a node is marked down.
Called when a node is added to the cluster. The newly added node should be considered up.
Called when a node is removed from the cluster.
Similar to RoundRobinPolicy, but prefers hosts
in the local datacenter and only uses nodes in remote
datacenters as a last resort.
The local_dc parameter should be the name of the datacenter
(such as is reported by nodetool ring) that should
be considered local. If not specified, the driver will choose
a local_dc based on the first host among Cluster.contact_points
having a valid DC. If relying on this mechanism, all specified
contact points should be nodes in a single, local DC.
used_hosts_per_remote_dc controls how many nodes in
each remote datacenter will have connections opened
against them. In other words, used_hosts_per_remote_dc hosts
will be considered REMOTE and the
rest will be considered IGNORED.
By default, all remote hosts are ignored.
This method is called to initialize the load balancing
policy with a set of Host instances before its
first use. The cluster parameter is an instance of
Cluster.
Returns a measure of how remote a Host is in
terms of the HostDistance enums.
Given a Statement instance, return a iterable
of Host instances which should be queried in that
order. A generator may work well for custom implementations
of this method.
Note that the query argument may be None when preparing
statements.
working_keyspace should be the string name of the current keyspace,
as set through Session.set_keyspace() or with a USE
statement.
Called when a node is marked up.
Called when a node is marked down.
Called when a node is added to the cluster. The newly added node should be considered up.
Called when a node is removed from the cluster.
A subclass of RoundRobinPolicy which evenly
distributes queries across all nodes in the cluster,
regardless of what datacenter the nodes may be in, but
only if that node exists in the list of allowed nodes
This policy is addresses the issue described in https://datastax-oss.atlassian.net/browse/JAVA-145 Where connection errors occur when connection attempts are made to private IP addresses remotely
The hosts parameter should be a sequence of hosts to permit connections to.
This method is called to initialize the load balancing
policy with a set of Host instances before its
first use. The cluster parameter is an instance of
Cluster.
Returns a measure of how remote a Host is in
terms of the HostDistance enums.
Called when a node is marked up.
Called when a node is added to the cluster. The newly added node should be considered up.
A LoadBalancingPolicy wrapper that adds token awareness to
a child policy.
This alters the child policy’s behavior so that it first attempts to
send queries to LOCAL replicas (as determined
by the child policy) based on the Statement’s
routing_key. If shuffle_replicas is
truthy, these replicas will be yielded in a random order. Once those
hosts are exhausted, the remaining hosts in the child policy’s query
plan will be used in the order provided by the child policy.
If no routing_key is set on the query, the child
policy’s query plan will be used as is.
Yield local replicas in a random order.
This method is called to initialize the load balancing
policy with a set of Host instances before its
first use. The cluster parameter is an instance of
Cluster.
This will be called after the cluster Metadata has been initialized. If the load balancing policy implementation cannot be supported for some reason (such as a missing C extension), this is the point at which it should raise an exception.
Returns a measure of how remote a Host is in
terms of the HostDistance enums.
Given a Statement instance, return a iterable
of Host instances which should be queried in that
order. A generator may work well for custom implementations
of this method.
Note that the query argument may be None when preparing
statements.
working_keyspace should be the string name of the current keyspace,
as set through Session.set_keyspace() or with a USE
statement.
Called when a node is marked up.
Called when a node is marked down.
Called when a node is added to the cluster. The newly added node should be considered up.
Called when a node is removed from the cluster.
A LoadBalancingPolicy subclass configured with a child policy,
and a single-argument predicate. This policy defers to the child policy for
hosts where predicate(host) is truthy. Hosts for which
predicate(host) is falsy will be considered IGNORED, and will
not be used in a query plan.
This can be used in the cases where you need a whitelist or blacklist policy, e.g. to prepare for decommissioning nodes or for testing:
def address_is_ignored(host):
return host.address in [ignored_address0, ignored_address1]
blacklist_filter_policy = HostFilterPolicy(
child_policy=RoundRobinPolicy(),
predicate=address_is_ignored
)
cluster = Cluster(
primary_host,
load_balancing_policy=blacklist_filter_policy,
)
See the note in the make_query_plan() documentation for a caveat on
how wrapping ordering polices (e.g. RoundRobinPolicy) may break
desirable properties of the wrapped policy.
Please note that whitelist and blacklist policies are not recommended for
general, day-to-day use. You probably want something like
DCAwareRoundRobinPolicy, which prefers a local DC but has
fallbacks, over a brute-force method like whitelisting or blacklisting.
child_policy – an instantiated LoadBalancingPolicy
that this one will defer to.
predicate – a one-parameter function that takes a Host.
If it returns a falsy value, the Host will
be IGNORED and not returned in query plans.
A predicate, set on object initialization, that takes a Host
and returns a value. If the value is falsy, the Host is
IGNORED. If the value is truthy,
HostFilterPolicy defers to the child policy to determine the
host’s distance.
This is a read-only value set in __init__, implemented as a
property.
Checks if predicate(host), then returns
IGNORED if falsy, and defers to the child policy
otherwise.
Defers to the child policy’s
LoadBalancingPolicy.make_query_plan() and filters the results.
Note that this filtering may break desirable properties of the wrapped
policy in some cases. For instance, imagine if you configure this
policy to filter out host2, and to wrap a round-robin policy that
rotates through three hosts in the order host1, host2, host3,
host2, host3, host1, host3, host1, host2, repeating. This
policy will yield host1, host3, host3, host1, host3, host1,
disproportionately favoring host3.
A LoadBalancingPolicy wrapper that adds the ability to target a specific host first.
If no host is set on the query, the child policy’s query plan will be used as is.
This method is called to initialize the load balancing
policy with a set of Host instances before its
first use. The cluster parameter is an instance of
Cluster.
Given a Statement instance, return a iterable
of Host instances which should be queried in that
order. A generator may work well for custom implementations
of this method.
Note that the query argument may be None when preparing
statements.
working_keyspace should be the string name of the current keyspace,
as set through Session.set_keyspace() or with a USE
statement.
Deprecated: This will be removed in the next major release,
consider using DefaultLoadBalancingPolicy.
Interface for translating cluster-defined endpoints.
The driver discovers nodes using server metadata and topology change events. Normally, the endpoint defined by the server is the right way to connect to a node. In some environments, these addresses may not be reachable, or not preferred (public vs. private IPs in cloud environments, suboptimal routing, etc). This interface allows for translating from server defined endpoints to preferred addresses for driver connections.
Note: contact_points provided while creating the Cluster instance are not
translated using this mechanism – only addresses received from Cassandra nodes are.
Accepts the node ip address, and returns a translated address to be used connecting to this node.
Returns the endpoint with no translation
Accepts the node ip address, and returns a translated address to be used connecting to this node.
Resolves private ips of the hosts in the same datacenter as the client, and public ips of hosts in other datacenters.
Reverse DNS the public broadcast_address, then lookup that hostname to get the AWS-resolved IP, which will point to the private IP address within the same datacenter.
A policy which decides when hosts should be considered down based on the types of failures and the number of failures.
If custom behavior is needed, this class may be subclassed.
host is an instance of Host.
Implementations should return True if the host should be
convicted, False otherwise.
Implementations should clear out any convictions or state regarding the host.
The default implementation of ConvictionPolicy,
which simply marks a host as down after the first failure
of any kind.
host is an instance of Host.
Implementations should return True if the host should be
convicted, False otherwise.
Implementations should clear out any convictions or state regarding the host.
This class and its subclasses govern how frequently an attempt is made to reconnect to nodes that are marked as dead.
If custom behavior is needed, this class may be subclassed.
This should return a finite or infinite iterable of delays (each as a floating point number of seconds) in-between each failed reconnection attempt. Note that if the iterable is finite, reconnection attempts will cease once the iterable is exhausted.
A ReconnectionPolicy subclass which sleeps for a fixed delay
in-between each reconnection attempt.
delay should be a floating point number of seconds to wait in-between each attempt.
max_attempts should be a total number of attempts to be made before
giving up, or None to continue reconnection attempts forever.
The default is 64.
This should return a finite or infinite iterable of delays (each as a floating point number of seconds) in-between each failed reconnection attempt. Note that if the iterable is finite, reconnection attempts will cease once the iterable is exhausted.
A ReconnectionPolicy subclass which exponentially increases
the length of the delay in-between each reconnection attempt up to
a set maximum delay.
A random amount of jitter (+/- 15%) will be added to the pure exponential delay value to avoid the situations where many reconnection handlers are trying to reconnect at exactly the same time.
base_delay and max_delay should be in floating point units of seconds.
max_attempts should be a total number of attempts to be made before
giving up, or None to continue reconnection attempts forever.
The default is 64.
This should return a finite or infinite iterable of delays (each as a floating point number of seconds) in-between each failed reconnection attempt. Note that if the iterable is finite, reconnection attempts will cease once the iterable is exhausted.
For usage with RetryPolicy, this describe a type
of write operation.
A write to a single partition key. Such writes are guaranteed to be atomic and isolated.
A write to multiple partition keys that used the distributed batch log to ensure atomicity.
A write to multiple partition keys that did not use the distributed batch log. Atomicity for such writes is not guaranteed.
A counter write (for one or multiple partition keys). Such writes should not be replayed in order to avoid overcount.
The initial write to the distributed batch log that Cassandra performs internally before a BATCH write.
A lighweight-transaction write, such as “DELETE … IF EXISTS”.
This WriteType is only seen in results for requests that were unable to complete MV operations.
This WriteType is only seen in results for requests that were unable to complete CDC operations.
A policy that describes whether to retry, rethrow, or ignore coordinator timeout and unavailable failures. These are failures reported from the server side. Timeouts are configured by settings in cassandra.yaml. Unavailable failures occur when the coordinator cannot achieve the consistency level for a request. For further information see the method descriptions below.
To specify a default retry policy, set the
Cluster.default_retry_policy attribute to an instance of this
class or one of its subclasses.
To specify a retry policy per query, set the Statement.retry_policy
attribute to an instance of this class or one of its subclasses.
If custom behavior is needed for retrying certain operations, this class may be subclassed.
This should be returned from the below methods if the operation should be retried on the same connection.
This should be returned from the below methods if the failure should be propagated and no more retries attempted.
This should be returned from the below methods if the failure should be ignored but no more retries should be attempted.
This should be returned from the below methods if the operation should be retried on another connection.
This is called when a read operation times out from the coordinator’s
perspective (i.e. a replica did not respond to the coordinator in time).
It should return a tuple with two items: one of the class enums (such
as RETRY) and a ConsistencyLevel to retry the
operation at or None to keep the same consistency level.
query is the Statement that timed out.
consistency is the ConsistencyLevel that the operation was
attempted at.
The required_responses and received_responses parameters describe how many replicas needed to respond to meet the requested consistency level and how many actually did respond before the coordinator timed out the request. data_retrieved is a boolean indicating whether any of those responses contained data (as opposed to just a digest).
retry_num counts how many times the operation has been retried, so the first time this method is called, retry_num will be 0.
By default, operations will be retried at most once, and only if a sufficient number of replicas responded (with data digests).
This is called when a write operation times out from the coordinator’s perspective (i.e. a replica did not respond to the coordinator in time).
query is the Statement that timed out.
consistency is the ConsistencyLevel that the operation was
attempted at.
write_type is one of the WriteType enums describing the
type of write operation.
The required_responses and received_responses parameters describe how many replicas needed to acknowledge the write to meet the requested consistency level and how many replicas actually did acknowledge the write before the coordinator timed out the request.
retry_num counts how many times the operation has been retried, so the first time this method is called, retry_num will be 0.
By default, failed write operations will retried at most once, and
they will only be retried if the write_type was
BATCH_LOG.
This is called when the coordinator node determines that a read or
write operation cannot be successful because the number of live
replicas are too low to meet the requested ConsistencyLevel.
This means that the read or write operation was never forwarded to
any replicas.
query is the Statement that failed.
consistency is the ConsistencyLevel that the operation was
attempted at.
required_replicas is the number of replicas that would have needed to acknowledge the operation to meet the requested consistency level. alive_replicas is the number of replicas that the coordinator considered alive at the time of the request.
retry_num counts how many times the operation has been retried, so the first time this method is called, retry_num will be 0.
By default, if this is the first retry, it triggers a retry on the next host in the query plan with the same consistency level. If this is not the first retry, no retries will be attempted and the error will be re-raised.
This is called when an unexpected error happens. This can be in the following situations:
On a connection error
On server errors: overloaded, isBootstrapping, serverError, etc.
query is the Statement that timed out.
consistency is the ConsistencyLevel that the operation was
attempted at.
error the instance of the exception.
retry_num counts how many times the operation has been retried, so the first time this method is called, retry_num will be 0.
By default, it triggers a retry on the next host in the query plan with the same consistency level.
A retry policy that never retries and always propagates failures to the application.
This is called when a read operation times out from the coordinator’s
perspective (i.e. a replica did not respond to the coordinator in time).
It should return a tuple with two items: one of the class enums (such
as RETRY) and a ConsistencyLevel to retry the
operation at or None to keep the same consistency level.
query is the Statement that timed out.
consistency is the ConsistencyLevel that the operation was
attempted at.
The required_responses and received_responses parameters describe how many replicas needed to respond to meet the requested consistency level and how many actually did respond before the coordinator timed out the request. data_retrieved is a boolean indicating whether any of those responses contained data (as opposed to just a digest).
retry_num counts how many times the operation has been retried, so the first time this method is called, retry_num will be 0.
By default, operations will be retried at most once, and only if a sufficient number of replicas responded (with data digests).
This is called when a write operation times out from the coordinator’s perspective (i.e. a replica did not respond to the coordinator in time).
query is the Statement that timed out.
consistency is the ConsistencyLevel that the operation was
attempted at.
write_type is one of the WriteType enums describing the
type of write operation.
The required_responses and received_responses parameters describe how many replicas needed to acknowledge the write to meet the requested consistency level and how many replicas actually did acknowledge the write before the coordinator timed out the request.
retry_num counts how many times the operation has been retried, so the first time this method is called, retry_num will be 0.
By default, failed write operations will retried at most once, and
they will only be retried if the write_type was
BATCH_LOG.
This is called when the coordinator node determines that a read or
write operation cannot be successful because the number of live
replicas are too low to meet the requested ConsistencyLevel.
This means that the read or write operation was never forwarded to
any replicas.
query is the Statement that failed.
consistency is the ConsistencyLevel that the operation was
attempted at.
required_replicas is the number of replicas that would have needed to acknowledge the operation to meet the requested consistency level. alive_replicas is the number of replicas that the coordinator considered alive at the time of the request.
retry_num counts how many times the operation has been retried, so the first time this method is called, retry_num will be 0.
By default, if this is the first retry, it triggers a retry on the next host in the query plan with the same consistency level. If this is not the first retry, no retries will be attempted and the error will be re-raised.
This is called when an unexpected error happens. This can be in the following situations:
On a connection error
On server errors: overloaded, isBootstrapping, serverError, etc.
query is the Statement that timed out.
consistency is the ConsistencyLevel that the operation was
attempted at.
error the instance of the exception.
retry_num counts how many times the operation has been retried, so the first time this method is called, retry_num will be 0.
By default, it triggers a retry on the next host in the query plan with the same consistency level.
Deprecated: This retry policy will be removed in the next major release.
A retry policy that sometimes retries with a lower consistency level than the one initially requested.
BEWARE: This policy may retry queries using a lower consistency
level than the one initially requested. By doing so, it may break
consistency guarantees. In other words, if you use this retry policy,
there are cases (documented below) where a read at QUORUM
may not see a preceding write at QUORUM. Do not use this
policy unless you have understood the cases where this can happen and
are ok with that. It is also recommended to subclass this class so
that queries that required a consistency level downgrade can be
recorded (so that repairs can be made later, etc).
This policy implements the same retries as RetryPolicy,
but on top of that, it also retries in the following cases:
On a read timeout: if the number of replicas that responded is greater than one but lower than is required by the requested consistency level, the operation is retried at a lower consistency level.
On a write timeout: if the operation is an UNLOGGED_BATCH
and at least one replica acknowledged the write, the operation is
retried at a lower consistency level. Furthermore, for other
write types, if at least one replica acknowledged the write, the
timeout is ignored.
On an unavailable exception: if at least one replica is alive, the operation is retried at a lower consistency level.
The reasoning behind this retry policy is as follows: if, based on the information the Cassandra coordinator node returns, retrying the operation with the initially requested consistency has a chance to succeed, do it. Otherwise, if based on that information we know the initially requested consistency level cannot be achieved currently, then:
For writes, ignore the exception (thus silently failing the consistency requirement) if we know the write has been persisted on at least one replica.
For reads, try reading at a lower consistency level (thus silently failing the consistency requirement).
In other words, this policy implements the idea that if the requested consistency level cannot be achieved, the next best thing for writes is to make sure the data is persisted, and that reading something is better than reading nothing, even if there is a risk of reading stale data.
This is called when a read operation times out from the coordinator’s
perspective (i.e. a replica did not respond to the coordinator in time).
It should return a tuple with two items: one of the class enums (such
as RETRY) and a ConsistencyLevel to retry the
operation at or None to keep the same consistency level.
query is the Statement that timed out.
consistency is the ConsistencyLevel that the operation was
attempted at.
The required_responses and received_responses parameters describe how many replicas needed to respond to meet the requested consistency level and how many actually did respond before the coordinator timed out the request. data_retrieved is a boolean indicating whether any of those responses contained data (as opposed to just a digest).
retry_num counts how many times the operation has been retried, so the first time this method is called, retry_num will be 0.
By default, operations will be retried at most once, and only if a sufficient number of replicas responded (with data digests).
This is called when a write operation times out from the coordinator’s perspective (i.e. a replica did not respond to the coordinator in time).
query is the Statement that timed out.
consistency is the ConsistencyLevel that the operation was
attempted at.
write_type is one of the WriteType enums describing the
type of write operation.
The required_responses and received_responses parameters describe how many replicas needed to acknowledge the write to meet the requested consistency level and how many replicas actually did acknowledge the write before the coordinator timed out the request.
retry_num counts how many times the operation has been retried, so the first time this method is called, retry_num will be 0.
By default, failed write operations will retried at most once, and
they will only be retried if the write_type was
BATCH_LOG.
This is called when the coordinator node determines that a read or
write operation cannot be successful because the number of live
replicas are too low to meet the requested ConsistencyLevel.
This means that the read or write operation was never forwarded to
any replicas.
query is the Statement that failed.
consistency is the ConsistencyLevel that the operation was
attempted at.
required_replicas is the number of replicas that would have needed to acknowledge the operation to meet the requested consistency level. alive_replicas is the number of replicas that the coordinator considered alive at the time of the request.
retry_num counts how many times the operation has been retried, so the first time this method is called, retry_num will be 0.
By default, if this is the first retry, it triggers a retry on the next host in the query plan with the same consistency level. If this is not the first retry, no retries will be attempted and the error will be re-raised.
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ScyllaDB Python Driver is available under the Apache v2 License. ScyllaDB Python Driver is a fork of DataStax Python Driver. See Copyright here.
cassandra - Exceptions and Enumscassandra.cluster - Clusters and Sessionscassandra.policies - Load balancing and Failure Handling Policiescassandra.auth - Authenticationcassandra.graph - Graph Statements, Options, and Row Factoriescassandra.metadata - Schema and Ring Topologycassandra.metrics - Performance Metricscassandra.query - Prepared Statements, Batch Statements, Tracing, and Row Factoriescassandra.pool - Hosts and Connection Poolscassandra.protocol - Protocol Featurescassandra.encoder - Encoders for non-prepared Statementscassandra.decoder - Data Return Formatscassandra.concurrent - Utilities for Concurrent Statement Executioncassandra.connection - Low Level Connection Infocassandra.util - Utilitiescassandra.timestamps - Timestamp Generationcassandra.io.asyncioreactor - asyncio Event Loopcassandra.io.asyncorereactor - asyncore Event Loopcassandra.io.eventletreactor - eventlet-compatible Connectioncassandra.io.libevreactor - libev Event Loopcassandra.io.geventreactor - gevent-compatible Event Loopcassandra.io.twistedreactor - Twisted Event Loopcassandra.cqlengine.models - Table models for object mappingcassandra.cqlengine.columns - Column types for object mapping modelscassandra.cqlengine.query - Query and filter model objectscassandra.cqlengine.connection - Connection management for cqlenginecassandra.cqlengine.management - Schema management for cqlenginecassandra.cqlengine.usertype - Model classes for User Defined Typescassandra.datastax.graph - Graph Statements, Options, and Row Factoriescassandra.datastax.graph.fluentcassandra.datastax.graph.fluent.querycassandra.datastax.graph.fluent.predicatesOn this page
cassandra.policies - Load balancing and Failure Handling Policies