This way we let big endian systems to still load old RDB versions.
However newver versions will be saved and loaded in a way that make RDB
expires cross-endian again. Thanks to @oranagra for the reporting and
the discussion about this problem, leading to this fix.
This way we let big endian systems to still load old RDB versions.
However newver versions will be saved and loaded in a way that make RDB
expires cross-endian again. Thanks to @oranagra for the reporting and
the discussion about this problem, leading to this fix.
Currently it does not look it's sensible to generate events for streams
consumer groups modification, being them metadata, however at least for
key-level events, like the creation or removal of a consumer group, I
added a few events here and there. Later we can evaluate if it makes
sense to add more. From the POV instead of WAIT (in Redis transaciton)
and signaling the key as modified, it looks like that the transaction
should not fail when a stream is modified, so no calls are made in
consumer groups related functions to signalModifiedKey().
Currently it does not look it's sensible to generate events for streams
consumer groups modification, being them metadata, however at least for
key-level events, like the creation or removal of a consumer group, I
added a few events here and there. Later we can evaluate if it makes
sense to add more. From the POV instead of WAIT (in Redis transaciton)
and signaling the key as modified, it looks like that the transaction
should not fail when a stream is modified, so no calls are made in
consumer groups related functions to signalModifiedKey().
Again thanks to @oranagra. The object idle time does not fit into an int
sometimes: use the native type that the serialization function will get
as argument, which is uint64_t.
Again thanks to @oranagra. The object idle time does not fit into an int
sometimes: use the native type that the serialization function will get
as argument, which is uint64_t.
A user with many connections (10 thousand) on a single Redis server
reports in issue #4983 that sometimes Redis is idle becuase at the same
time many clients need to resize their query buffer according to the old
policy.
It looks like this was created by the fact that we allow the query
buffer to grow without problems to a size up to PROTO_MBULK_BIG_ARG
normally, but when the client is idle we immediately are more strict,
and a query buffer greater than 1024 bytes is already enough to trigger
the resize. So for instance if most of the clients stop at the same time
this issue should be easily triggered.
This behavior actually looks odd, and there should be only a clear limit
after we say, let's look at this query buffer to check if it's time to
resize it. This commit puts the limit at PROTO_MBULK_BIG_ARG, and the
check is performed both if compared to the peak usage the current usage
is too big, or if the client is idle.
Then when the check is performed, to waste just a few kbytes is
considered enough to proceed with the resize. This should fix the issue.
A user with many connections (10 thousand) on a single Redis server
reports in issue #4983 that sometimes Redis is idle becuase at the same
time many clients need to resize their query buffer according to the old
policy.
It looks like this was created by the fact that we allow the query
buffer to grow without problems to a size up to PROTO_MBULK_BIG_ARG
normally, but when the client is idle we immediately are more strict,
and a query buffer greater than 1024 bytes is already enough to trigger
the resize. So for instance if most of the clients stop at the same time
this issue should be easily triggered.
This behavior actually looks odd, and there should be only a clear limit
after we say, let's look at this query buffer to check if it's time to
resize it. This commit puts the limit at PROTO_MBULK_BIG_ARG, and the
check is performed both if compared to the peak usage the current usage
is too big, or if the client is idle.
Then when the check is performed, to waste just a few kbytes is
considered enough to proceed with the resize. This should fix the issue.
