Consistent Critical Read Filter
Consistent Critical Read Filter
This filter was introduced in MariaDB MaxScale 2.1.
The Consistent Critical Read (CCR) filter allows consistent critical reads to be done through MaxScale while still allowing scaleout of non-critical reads.
When the filter detects a statement that would modify the database, it attaches a routing hint to all following statements. This routing hint guides the routing module to route the statement to the master server where data is guaranteed to be in an up-to-date state.
Controlling the Filter with SQL Comments
The triggering of the filter can be limited further by adding MaxScale supported comments to queries and/or by using regular expressions. The query comments take precedence: if a comment is found it is obayed even if a regular expression parameter might give a different result. Even a comment cannot cause a SELECT-query to trigger the filter. Such a comment is considered an error and ignored.
The comments must follow the MaxScale hint syntax
and the HintFilter needs to be in the filter chain before the CCR-filter. If a
query has a MaxScale supported comment line which defines the parameter
that comment is caught by the CCR-filter. Parameter values
are supported, causing the filter to trigger (
match) or not trigger (
on receiving the write query. For example, the query
INSERT INTO departments VALUES ('d1234', 'NewDepartment'); -- maxscale ccr=ignore
would normally cause the filter to trigger, but does not because of the
match-comment typically has no effect, since write queries by
default trigger the filter anyway. It can be used to override an ignore-type
regular expression that would othewise prevent triggering.
The CCR filter accepts the following options.
|ignorecase||Use case-insensitive matching (default)|
|case||Use case-sensitive matching|
|extended||Use extended regular expression syntax (ERE)|
To use multiple filter options, list them in a comma-separated list.
The CCR filter has no mandatory parameters.
The time window in seconds during which queries are routed to the master. The default value for this parameter is 60 seconds.
When a data modifying SQL statement is processed, a timer is set to the value of time. Once the timer has elapsed, all statements are routed normally. If a new data modifying SQL statement is processed within the time window, the timer is reset to the value of time.
Enabling this parameter in combination with the count parameter causes both the time window and number of queries to be inspected. If either of the two conditions are met, the query is re-routed to the master.
The number of SQL statements to route to master after detecting a data modifying SQL statement. This feature is disabled by default.
After processing a data modifying SQL statement, a counter is set to the value of count and all statements are routed to the master. Each executed statement after a data modifying SQL statement cause the counter to be decremented. Once the counter reaches zero, the statements are routed normally. If a new data modifying SQL statement is processed, the counter is reset to the value of count.
An optional parameter that can be used to control which statements trigger the statement re-routing. The parameter value is a regular expression that is used to match against the SQL text. Only non-SELECT statements are inspected. If this parameter is defined, only matching SQL-queries will trigger the filter (assuming no ccr hint comments in the query).
An optional parameter that can be used to control which statements don't trigger the statement re-routing. This does the opposite of the match parameter. The parameter value is a regular expression that is used to match against the SQL text. Only non-SELECT statements are inspected.
Here is a minimal filter configuration for the CCRFilter which should solve most problems with critical reads after writes.
[CCRFilter] type=filter module=ccrfilter time=5
This configuration will force all read queries after a write to the master for 5 seconds, preventing read scaling until the modifications have been replicated to the slaves.
For best performance, the value of time should be slightly greater than the actual replication lag between the master and its slaves. If the number of critical read statements is known, the count parameter could be used to control the number reads that are sent to the master.