Prepared SQL Cache caches SQL statements corresponding to JPQL queries.
If a query is executed more than once in the same or different persistence
contexts, the SQL statement generated during the first execution is cached and
executed directly for subsequent execution. Direct execution of SQL offers
significant performance gain as it saves the cost of parsing query string and,
more importantly, populating the query expression tree during every execution.
Relative performance gain becomes higher as the complexity of forming a SQL
query from a JPQL string increases. For example, a JPQL query Q1
that involves multiple joins across tables takes more computation to translate
into a SQL statement than a JPQL query Q2
to select by simple
primary key identifier. Correspondingly, repeated execution of Q1
will gain more performance advantage than Q2
with Prepared SQL
Cache.
Prepared SQL Cache is configured by the
openjpa.jdbc.QuerySQLCache
configuration property. This
property accepts a plugin string (see Section 4, “
Plugin Configuration
”)
with value of true
or false
. The default
is true
. The execution statistics of the cached queries can be
optionally collected as
<property name="openjpa.jdbc.QuerySQLCache" value="true(EnableStatistics=true)">
The
QueryStatistics
can be accessed via PreparedQueryCache.getStatistics()
.
Table 10.3. Pre-defined aliases
Alias | Value | Notes |
---|---|---|
true
|
org.apache.openjpa.util.CacheMap
|
The default option. Uses a
CacheMap to store SQL string.
CacheMap maintains a fixed number of cache entries, and an
optional soft reference map for entries that are moved out of the LRU space.
So, for applications that have a monotonically increasing number of distinct
queries, this option can be used to ensure that a fixed amount of memory is
used by the cache.
|
false | none | Disables the SQL cache. |
Following salient points to be noted regarding usage of Prepared Query Cache.
Prepared Query Cache uses the original JPQL string as the key to index the corresponding SQL statement. Hence the JPQL strings that are semantically identical but differ by character case or identification variables are considered as different by this cache. One of the implications is that the applications can gain better advantage from the Prepared Query Cache by using parameters in their JPQL query rather than concatenating the parameter values in the query string itself .
For example, contrast the following two examples of executing JPQL queries.
Example 10.23. Hardcoded Selection Value in JPQL Query
String jpql = "SELECT p FROM Person p WHERE p.name='John'"; List johns = em.createQuery(jpql).getResultList(); jpql = "SELECT p FROM Person p WHERE p.name='Tom'"; List toms = em.createQuery(jpql).getResultList();
In Example 10.23, “Hardcoded Selection Value in JPQL Query”, the queries have
hardcoded the selection value for the p.name
field. Prepared Query Cache will not recognize the second execution as
same as the first, though both will result in same SQL statement.
While in Example 10.24, “Parameterized Selection Value in JPQL Query”, the
selection value for the p.name
field is parameterized.
Prepared Query Cache will recognize the second execution as
same as the first, and will execute the cached SQL statement directly.
Example 10.24. Parameterized Selection Value in JPQL Query
String jpql = "SELECT p FROM Person p WHERE p.name=:name"; List johns = em.createQuery(jpql).setParameter("name","John").getResultList(); List toms = em.createQuery(jpql).setParameter("name","Tom").getResultList();
p
, whether the actual
value of p
is null
or not will determine the
generated SQL statement. Another example is collection valued parameter for
IN
expression. Each element of a collection valued parameter
results into a SQL parameter. If a collection valued parameter across
executions are set to different number of elements, then the parameters of
the cached SQL do not correspond. If such situations are encountered while
re-parameterizing the cached SQL, the cached version is not reused and the
original JPQL query is used to generate a new SQL statement for execution.
SELECT count(p) FROM PObject p
is never cached.
Several mechanisms are available to the application to bypass SQL caching for a JPQL query.
OpenJPAEntityManager.setQuerySQLCache(boolean)
QueryHints.HINT_IGNORE_PREPARED_QUERY
or
"openjpa.hint.IgnorePreparedQuery"
to true
via standard javax.persistence.Query.setHint(String, Object)
method. If a
SQL query has been cached corresponding to the JPQL query prior to this
execution, then the cached SQL remains in the cache and will be reused
for any subsequent execution of the same JPQL query.
QueryHints.HINT_INVALIDATE_PREPARED_QUERY
or
"openjpa.hint.InvalidatePreparedQuery"
to true
The SQL query is removed from the cache. Also the JPQL query will never be
cached again during the lifetime of the entire persistence unit.
openjpa.jdbc.QuerySQLCache
can be
configured to exclude certain JPQL queries as shown below.
<property name="openjpa.jdbc.QuerySQLCache" value="true(excludes='select c from Company c;select d from Department d')"/>will never cache JPQL queries
select c from Company c
and
select d from Department d
.