public class DefaultRetryPolicy extends Object implements RetryPolicy
DowngradingConsistencyRetryPolicy
.RetryPolicy.RetryDecision
Modifier and Type | Field and Description |
---|---|
static DefaultRetryPolicy |
INSTANCE |
Modifier and Type | Method and Description |
---|---|
void |
close()
Gets invoked at cluster shutdown.
|
void |
init(Cluster cluster)
Gets invoked at cluster startup.
|
RetryPolicy.RetryDecision |
onReadTimeout(Statement statement,
ConsistencyLevel cl,
int requiredResponses,
int receivedResponses,
boolean dataRetrieved,
int nbRetry)
Defines whether to retry and at which consistency level on a read timeout.
|
RetryPolicy.RetryDecision |
onRequestError(Statement statement,
ConsistencyLevel cl,
DriverException e,
int nbRetry)
Defines whether to retry and at which consistency level on an
unexpected error.
|
RetryPolicy.RetryDecision |
onUnavailable(Statement statement,
ConsistencyLevel cl,
int requiredReplica,
int aliveReplica,
int nbRetry)
Defines whether to retry and at which consistency level on an
unavailable exception.
|
RetryPolicy.RetryDecision |
onWriteTimeout(Statement statement,
ConsistencyLevel cl,
WriteType writeType,
int requiredAcks,
int receivedAcks,
int nbRetry)
Defines whether to retry and at which consistency level on a write timeout.
|
public static final DefaultRetryPolicy INSTANCE
public RetryPolicy.RetryDecision onReadTimeout(Statement statement, ConsistencyLevel cl, int requiredResponses, int receivedResponses, boolean dataRetrieved, int nbRetry)
requiredResponses >= receivedResponses
if dataPresent
is
false
(see
ReadTimeoutException.wasDataRetrieved()
).
This implementation triggers a maximum of one retry, and only if enough
replicas had responded to the read request but data was not retrieved
amongst those. Indeed, that case usually means that enough replica
are alive to satisfy the consistency but the coordinator picked a
dead one for data retrieval, not having detected that replica as dead
yet. The reasoning for retrying then is that by the time we get the
timeout the dead replica will likely have been detected as dead and
the retry has a high chance of success.onReadTimeout
in interface RetryPolicy
statement
- the original query that timed out.cl
- the requested consistency level of the read that timed out.
Note that this can never be a serial
consistency level.requiredResponses
- the number of responses that were required to
achieve the requested consistency level.receivedResponses
- the number of responses that had been received
by the time the timeout exception was raised.dataRetrieved
- whether actual data (by opposition to data checksum)
was present in the received responses.nbRetry
- the number of retry already performed for this operation.RetryDecision.retry(cl)
if no retry attempt has yet been tried and
receivedResponses >= requiredResponses && !dataRetrieved
, RetryDecision.rethrow()
otherwise.public RetryPolicy.RetryDecision onWriteTimeout(Statement statement, ConsistencyLevel cl, WriteType writeType, int requiredAcks, int receivedAcks, int nbRetry)
not idempotent
, the driver will never retry it on a
write timeout (this method won't even be called).
This implementation triggers a maximum of one retry, and only in the case of
a WriteType.BATCH_LOG
write. The reasoning for the retry in
that case is that write to the distributed batch log is tried by the
coordinator of the write against a small subset of all the nodes alive
in the local datacenter. Hence, a timeout usually means that none of
the nodes in that subset were alive but the coordinator hasn't
detected them as dead. By the time we get the timeout the dead
nodes will likely have been detected as dead and the retry has thus a
high chance of success.onWriteTimeout
in interface RetryPolicy
statement
- the original query that timed out.cl
- the requested consistency level of the write that timed out.
If the timeout occurred at the "paxos" phase of a
Lightweight transaction,
then cl
will actually be the requested serial
consistency level.
Beware that serial consistency levels should never be passed to a RetryDecision
as this would
invariably trigger an InvalidQueryException
.
Also, when cl
is serial
, then writeType
is always CAS
.writeType
- the type of the write that timed out.requiredAcks
- the number of acknowledgments that were required to
achieve the requested consistency level.receivedAcks
- the number of acknowledgments that had been received
by the time the timeout exception was raised.nbRetry
- the number of retry already performed for this operation.RetryDecision.retry(cl)
if no retry attempt has yet been tried and
writeType == WriteType.BATCH_LOG
, RetryDecision.rethrow()
otherwise.public RetryPolicy.RetryDecision onUnavailable(Statement statement, ConsistencyLevel cl, int requiredReplica, int aliveReplica, int nbRetry)
nbRetry == 0
), it triggers a retry on the next host in the query plan
with the same consistency level (RetryDecision#tryNextHost(null)
.
The rationale is that the first coordinator might have been network-isolated from all other nodes (thinking
they're down), but still able to communicate with the client; in that case, retrying on the same host has almost
no chance of success, but moving to the next host might solve the issue.onUnavailable
in interface RetryPolicy
statement
- the original query for which the consistency level cannot
be achieved.cl
- the requested consistency level for the operation.
If the operation failed at the "paxos" phase of a
Lightweight transaction,
then cl
will actually be the requested serial
consistency level.
Beware that serial consistency levels should never be passed to a RetryDecision
as this would
invariably trigger an InvalidQueryException
.requiredReplica
- the number of replica that should have been
(known) alive for the operation to be attempted.aliveReplica
- the number of replica that were know to be alive by
the coordinator of the operation.nbRetry
- the number of retry already performed for this operation.RetryDecision.RETHROW
is returned,
an UnavailableException
will
be thrown for the operation.public RetryPolicy.RetryDecision onRequestError(Statement statement, ConsistencyLevel cl, DriverException e, int nbRetry)
SocketOptions.getReadTimeoutMillis()
);OVERLOADED
error or a SERVER_ERROR
.not idempotent
, the driver will never retry it
(this method won't even be called).onRequestError
in interface RetryPolicy
statement
- the original query that failed.cl
- the requested consistency level for the operation.
Note that this is not necessarily the achieved consistency level (if any),
and it is never a serial
one.e
- the exception that caused this request to fail.nbRetry
- the number of retries already performed for this operation.RetryDecision.RETHROW
is returned,
the DriverException
passed to this method will be thrown for the operation.public void init(Cluster cluster)
RetryPolicy
init
in interface RetryPolicy
cluster
- the cluster that this policy is associated with.public void close()
RetryPolicy
close
in interface RetryPolicy