By enabling the debug messages only at startup, we'll get log messages for
any daemon startup failures and we exlude the verbose parsing errors that
malformed requests cause.
The hard limit of 10 seconds is too strict when taking into account the
fact that infinite refreshes was possible before the bug was fixed. This
also makes testing a lot easier where rapid reloads are necessary.
Certain MariaDB connectors will use the direct execution for batching
COM_STMT_PREPARE and COM_STMT_EXECUTE execution without waiting for the
COM_STMT_PREPARE to complete. In these cases the COM_STMT_EXECUTE (and
other COM_STMT commands as well) will use the special ID 0xffffffff. When
this is detected, it should be substituted with the ID of the latest
statement that was prepared.
This fixes the test failures that stem from users being created right
after maxscale has started. This also should make startups a bit smoother
now that the default value of users_refresh_time has been fixed.
All COM_STMT_SEND_LONG_DATA commands and the COM_STMT_EXECUTE that follows
it must be sent to the same server. This implicitly works for masters but
with multiple slave servers the data could be sent to the wrong server.
By using the code added for MXS-2521, this problem can now be easily
solved by checking what the previous command was.
When fake hangup events are delivered via DCBs, the current DCB would not
be updated. This would cause error messages without a session ID which
makes failure analysis harder.
It was possible that a one-second outage that caused immediate rejection
of network connections would cause all of the query retry attempts to fail
within a very short period of time. By preventing rapid reconnections,
query_retries is more effective as an error filtering mechanism.
If a COM_STMT_EXECUTE has no metadata in it and it has more than one
parameter, it must be routed to the same backend where the previous
COM_STMT_EXECUTE with the same ID was routed to. This prevents MDEV-19811
that is triggered by MaxScale routing the queries to different backends.
Due to there being no distinction between a temporarily stopped worker and
a permanently stopped one, we must allow posting of messages to stopped
workers.
By having a separate FINISHED state and a STOPPED state, it is possible to
know at which point in the worker's lifetime an event is done. Posting of
messages before a worker is started is allowed but posting them after the
worker has stopped is not.
This fixes avrorouter related failures and all other failures that stem
from worker messages being ignored at startup.
By stopping the REST API before the workers and moving the shutdown to the
same worker that handles REST API requests, we prevent the hang on
shutdown. This also makes the signal handler signal-safe.
If a worker has been stopped, tasks must not be executed on it. To prevent
this, the calling code should check whether the worker has been
stopped. This does not prevent the case where a message is successfully
posted to a worker but the worker is stopped before it processes it.
In MaxScale, a "deprecated" parameter is not in use and can be ignored.
Leaving the parameters out of serialized configuration files avoids warning
messages.
It is an error to register the same task multiple times, but
for a maintenance release it is simpler and less risky to simply
ignore an attempt (that BLR does) to do that.
Allowing a task to be registered anew causes behaviour akin
to a leak.
Before this change, the masking could be bypassed simply by
> set @@sql_mode='ANSI_QUOTES';
> select concat("ssn") from person;
The reason is that as the query classifier is not aware of whether
'ANSI_QUOTES' is on or not, it will not know that what above appears
to be the string "ssn", actually is the field name `ssn`. Consequently,
the select will not be blocked and the result returned in cleartext.
It's now possible to instruct the query classifier to report all string
arguments of functions as fields, which will prevent the above. However,
it will also mean that there may be false positives.
Reduced the default cache size from 40% to 15%. Most cases don't benefit
from that much memory and the defaults have caused problems in live
environments.
If a query spans more than a single packet, it will never be successfully
classified due to the fact that the complete SQL is never available to the
query classifier. For this reason, it is pointless to cache them.