
The concept of 'allowed_references' was removed from the documentation and the code. Now that COM_INIT_DB is tracked, we will always know what the default database is and hence we can create a cache key that distinguises between identical queries targeting different default database (that is not implemented yet in this change). The rules for the cache is expressed using a JSON object. There are two decisions to be made; when to store data to the cache and when to use data from the cache. The latter is obviously dependent on the former. In this change, the 'store' handling is implemented; 'use' handling will be in a subsequent change.
6.4 KiB
Cache
Overview
The cache filter is capable of caching the result of SELECTs, so that subsequent identical SELECTs are served directly by MaxScale, without being routed to any server.
Configuration
The cache filter is straightforward to configure and simple to add to any existing service.
[Cache]
type=filter
module=cache
ttl=5
storage=...
storage_options=...
rules=...
debug=...
[Cached Routing Service]
type=service
...
filters=Cache
Each configured cache filter uses a storage of its own. That is, if there are two services, each configured with a specific cache filter, then, even if queries target the very same servers the cached data will not be shared.
Two services can use the same cache filter, but then either the services should use the very same servers or a completely different set of servers, where the used table names are different. Otherwise there can be unintended sharing.
Filter Parameters
The cache filter has one mandatory parameter - storage
- and a few
optional ones.
storage
The name of the module that provides the storage for the cache. That
module will be loaded and provided with the value of storage_options
as
argument. For instance:
storage=storage_rocksdb
storage_options
A comma separated list of arguments to be provided to the storage module,
specified in storage
, when it is loaded. Note that the needed arguments
depend upon the specific module. For instance,
storage_options=storage_specific_option1=value1,storage_specific_option2=value2
max_resultset_rows
Specifies the maximum number of rows a resultset can have in order to be stored in the cache. A resultset larger than this, will not be stored.
max_resultset_rows=1000
Zero or a negative value is interpreted as no limitation.
The default value is -1
.
max_resultset_size
Specifies the maximum size a resultset can have, measured in kibibytes, in order to be stored in the cache. A resultset larger than this, will not be stored.
max_resultset_size=128
The default value is 64.
ttl
Time to live; the amount of time - in seconds - the cached result is used before it is refreshed from the server.
If nothing is specified, the default ttl value is 10.
ttl=60
rules
Specifies the path of the file where the caching rules are stored. A relative path is interpreted relative to the data directory of MariaDB MaxScale.
rules=/path/to/rules-file
debug
An integer value, using which the level of debug logging made by the cache can be controlled. The value is actually a bitfield with different bits denoting different logging.
0
(0b0000
) No logging is made.1
(0b0001
) A matching rule is logged.2
(0b0010
) A non-matching rule is logged.4
(0b0100
) A decision to use data from the cache is logged.8
(0b1000
) A decision not to use data from the cache is logged.
Default is 0
. To log everything, give debug
a value of 15
.
debug=2
Rules
The caching rules are expressed as a JSON object.
There are two decisions to be made regarding the caching; in what circumstances should data be stored to the cache and in what circumstances should the data in the cache be used.
In the JSON object this is visible as follows:
{
store: [ ... ],
use: [ ... ]
}
The store
field specifies in what circumstances data should be stored to
the cache and the use
field specifies in what circumstances the data in
the cache should be used. In both cases, the value is a JSON array containg
objects.
When to Store
By default, if no rules file have been provided or if the store
field is
missing from the object, the results of all queries will be stored to the
cache, subject to max_resultset_rows
and max_resultset_size
cache filter
parameters.
By providing a store
field in the JSON object, the decision whether to
store the result of a particular query to the cache can be controlled in
a more detailed manner. The decision to cache the results of a query can
depend upon
- the database,
- the table,
- the column, or
- the query itself.
Each entry in the store
array is an object containing three fields,
{
"attribute": <string>,
"op": <string>
"value": <string>
}
where,
- the attribute can be
database
,table
,column
orquery
, - the op can be
=
,!=
,like
orunlike
, and - the value a string.
If op is =
or !=
then value is used verbatim; if it is like
or unlike
, then value is interpreted as a pcre2 regular expression.
The objects in the store
array are processed in order. If the result
of a comparison is true, no further processing will be made and the
result of the query in question will be stored to the cache.
If the result of the comparison is false, then the next object is processed. The process continues until the array is exhausted. If there is no match, then the result of the query is not stored to the cache.
Note that as the query itself is used as the key, although the following queries
select * from db1.tbl
and
use db1;
select * from tbl
target the same table and produce the same results, they will be cached separately. The same holds for queries like
select * from tbl where a = 2 and b = 3;
and
select * from tbl where b = 3 and a = 2;
as well. Although they conceptually are identical, there will be two cache entries.
Examples
Cache all queries targeting a particular database.
{
"store": [
{
"attribute": "database",
"op": "=",
"value": "db1"
}
]
}
Cache all queries not targeting a particular table
{
"store": [
{
"attribute": "table",
"op": "!=",
"value": "tbl1"
}
]
}
That will exclude queries targeting table tbl1 irrespective of which database it is in. To exclude a table in a particular database, specify the table name using a qualified name.
{
"store": [
{
"attribute": "table",
"op": "!=",
"value": "db1.tbl1"
}
]
}
Cache all queries containing a WHERE clause
{
"store": [
{
"attribute": "query",
"op": "like",
"value": ".*WHERE.*"
}
]
}
Note that that will actually cause all queries that contain WHERE anywhere, to be cached.