openjpa/openjpa-project/src/doc/manual/ref_guide_optimization.xml

<chapter id="ref_guide_optimization">
    <title>
        Optimization Guidelines
    </title>
    <indexterm zone="ref_guide_optimization">
        <primary>
            optimization guidelines
        </primary>
    </indexterm>
    <para>
There are numerous techniques you can use in order to ensure that OpenJPA
operates in the fastest and most efficient manner. Following are some
guidelines. Each describes what impact it will have on performance and
scalability. Note that general guidelines regarding performance or scalability
issues are just that - guidelines. Depending on the particular characteristics
of your application, the optimal settings may be considerably different than
what is outlined below.
    </para>
    <para>
In the following table, each row is labeled with a list of italicized keywords.
These keywords identify what characteristics the row in question may improve
upon. Many of the rows are marked with one or both of the <emphasis>performance
</emphasis> and <emphasis>scalability</emphasis> labels. It is important to bear
in mind the differences between performance and scalability (for the most part,
we are referring to system-wide scalability, and not necessarily only
scalability within a single JVM). The performance-related hints will probably
improve the performance of your application for a given user load, whereas the
scalability-related hints will probably increase the total number of users that
your application can service. Sometimes, increasing performance will decrease
scalability, and vice versa. Typically, options that reduce the amount of work
done on the database server will improve scalability, whereas those that push
more work onto the server will have a negative impact on scalability.
    </para>
    <table>
        <title>
            Optimization Guidelines
        </title>
        <tgroup cols="2" align="left" colsep="1" rowsep="1">
            <colspec colname="name">
            </colspec>
            <colspec colname="desc" colwidth="4*">
            </colspec>
            <tbody valign="top">
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Optimize database indexes
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                         
          The default set of indexes created by OpenJPA's mapping 
          tool may not always be the most appropriate for your 
          application. Manually setting indexes in your mapping
          metadata or manually manipulating database indexes to 
          include frequently-queried fields (as well as dropping 
          indexes on rarely-queried fields) can yield significant 
          performance benefits.
          
                        <para>
A database must do extra work on insert, update, and delete to maintain an
index. This extra work will benefit selects with WHERE clauses, which will
execute much faster when the terms in the WHERE clause are appropriately
indexed. So, for a read-mostly application, appropriate indexing will slow down
updates (which are rare) but greatly accelerate reads. This means that the
system as a whole will be faster, and also that the database will experience
less load, meaning that the system will be more scalable.
                        </para>
                        <para>
Bear in mind that over-indexing is a bad thing, both for scalability and
performance, especially for applications that perform lots of inserts, updates,
or deletes.
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Use the best JDBC driver
                        </emphasis>
                        <para>
<emphasis>performance, scalability, reliability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                         
          The JDBC driver provided by the database vendor is not 
          always the fastest and most efficient. Some JDBC drivers 
          do not support features like batched statements, the lack 
          of which can significantly slow down OpenJPA's data access
          and increase load on the database, reducing system 
          performance and scalability.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            JVM optimizations
                        </emphasis>
                        <para>
<emphasis>performance, reliability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                         
          Manipulating various parameters of the Java Virtual Machine
          (such as hotspot compilation modes and the maximum memory)
          can result in performance improvements. For more details
          about optimizing the JVM execution environment, please see 
          
                        <ulink url="http://java.sun.com/docs/hotspot/PerformanceFAQ.html">
                        </ulink>
                        .
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Use the data cache
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                         
          Using OpenJPA's 
                        <link linkend="ref_guide_cache">
                            data and 
          query caching
                        </link>
                         features can often result 
          in a dramatic improvement in performance. Additionally, 
          these caches can significantly reduce the amount of load on
          the database, increasing the scalability characteristics of
          your application.  Also, be sure to read about the 
          
                        <link linkend="ref_guide_cache_concurrent">
                            concurrent cache
          
                        </link>
                         option to see if it fits your needs.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Set 
                            <literal>
                                LargeTransaction
          
                            </literal>
                             to true, or set 
                            <literal>
                                PopulateDataCache
          
                            </literal>
                             to false
                        </emphasis>
                        <para>
<emphasis>performance vs. scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                         
          When using OpenJPA's 
                        <link linkend="ref_guide_cache">
                            data 
          caching
                        </link>
                         features (available in OpenJPA JDO 
          Performance Pack and Enterprise Edition) 
          in a transaction that will delete, modify, or create 
          a very large number of objects you can set 
                        <literal>
                            
          LargeTransaction
                        </literal>
                         to true and perform periodic 
          flushes during your transaction to reduce its memory 
          requirements.  See the Javadoc:
          
                        <phrase>
                            <ulink url="javadoc/openjpa/persistence/OpenJPAEntityManager.html">
                                
          OpenJPAEntityManager.setLargeTransaction
                            </ulink>
                        </phrase>
                        
          
          
          Note that transactions in large mode have to
          more aggressively flush items from the data cache.
          
                        <para>
If your transaction will visit objects that you know are very unlikely to be
accessed by other transactions, for example an exhaustive report run only once a
month, you can turn off population of the data cache so that the transaction
doesn't fill the entire data cache with objects that won't be accessed again.
Again, see the Javadoc: <phrase>
<ulink url="javadoc/openjpa/persistence/OpenJPAEntityManager.html">
OpenJPAEntityManager.setPopulateDataCache</ulink></phrase>
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Disable logging, performance 
          tracking
                        </emphasis>
                        <para>
<emphasis>performance</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                         
          Developer options such as verbose logging and the 
          JDBC performance tracker can result in serious performance 
          hits for your application. Before evaluating OpenJPA's
          performance, these options should all be disabled.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Set 
                            <literal>
                                IgnoreChanges
                            </literal>
                             
          to true, or set 
                            <literal>
                                FlushBeforeQueries
                            </literal>
                             to 
          true
                        </emphasis>
                        <para>
<emphasis>performance vs. scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          When both the 
                        <link linkend="openjpa.IgnoreChanges">
                            <literal>
                                openjpa.IgnoreChanges
                            </literal>
                        </link>
                         and 
          
                        <link linkend="openjpa.FlushBeforeQueries">
                            <literal>
                                
          openjpa.FlushBeforeQueries
                            </literal>
                        </link>
                         properties are set
          to false, OpenJPA needs to consider in-memory dirty instances 
          during queries.  This can sometimes result in OpenJPA needing 
          to evaluate the entire extent objects in order to 
          return the correct query results, which can have drastic 
          performance consequences.  If it is appropriate for your 
          application, configuring 
          
                        <literal>
                            FlushBeforeQueries
                        </literal>
                        
          to automatically flush before queries involving dirty
          objects will ensure that this never
          happens. Setting 
                        <literal>
                            IgnoreChanges
                        </literal>
                         to 
          false will result in a small performance hit even if 
          
                        <literal>
                            FlushBeforeQueries
                        </literal>
                         is true, as 
          incremental flushing is not as efficient overall as 
          delaying all flushing to a single operation during commit. 
          This is because incrementally flushing decreases OpenJPA's 
          ability to maximize statement batching, and increases 
          resource utilization.
          
                        <para>
Note that the default setting of <literal>FlushBeforeQueries</literal> is
<literal>with-connection</literal>, which means that data will be flushed only
if a dedicated connection is already in use by the <classname>EntityManager
</classname>. So, the default value may not be appropriate for you.
                        </para>
                        <para>
Setting <literal>IgnoreChanges</literal> to <literal>true</literal> will help
performance, since dirty objects can be ignored for queries, meaning that
incremental flushing or client-side processing is not necessary. It will also
improve scalability, since overall database server usage is diminished. On the
other hand, setting <literal>IgnoreChanges</literal> to <literal>false</literal>
will have a negative impact on scalability, even when using automatic flushing
before queries, since more operations will be performed on the database server.
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Configure 
                            <literal>
                                
          openjpa.ConnectionRetainMode
                            </literal>
                             appropriately
                        </emphasis>
                        <para>
<emphasis>performance vs. scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          The 
                        <link linkend="openjpa.ConnectionRetainMode">
                            <literal>
                                
          ConnectionRetainMode
                            </literal>
                        </link>
                         configuration option 
          controls when OpenJPA will obtain a connection, and how long 
          it will hold that connection. The optimal settings for this
          option will vary considerably depending on the particular 
          behavior of your application. You may even benefit from 
          using different retain modes for different parts of your
          application.
          
                        <para>
The default setting of <literal>on-demand</literal> minimizes the amount of time
that OpenJPA holds onto a datastore connection. This is generally the best
option from a scalability standpoind, as database resources are held for a
minimal amount of time. However, if your connection pool is overly small
relative to the number of concurrent sessions that need access to the database,
or if your <classname>DataSource</classname> is not efficient at managing its
pool, then this default value could cause undesirable pool contention.
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Ensure that batch updates are 
          available
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                         
          When performing bulk inserts, updates, or deletes, OpenJPA 
          will use batched statements. If this feature is not 
          available in your JDBC driver, then OpenJPA will need to 
          issue multiple SQL statements instead of a single batch 
          statement.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Use 
          flat inheritance
                        </emphasis>
                        <para>
<emphasis>performance, scalability vs. disk space</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                         
          Mapping inheritance hierarchies to a single database table
          is faster for most operations than other strategies
          employing multiple tables. If it is appropriate for your 
          application, you should use this strategy whenever possible.
          
                        <para>
However, this strategy will require more disk space on the database side. Disk
space is relatively inexpensive, but if your object model is particularly large,
it can become a factor.
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            High sequence increment
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                         
          For applications that perform large bulk inserts, the 
          retrieval of sequence numbers can be a bottleneck. 
          Increasing sequence increments and using table-based rather
          than native database sequences can reduce or eliminate 
          this bottleneck. In some cases,
          implementing your own sequence factory can further optimize
          sequence number retrieval.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Use optimistic transactions
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                         
          Using datastore transactions translates into pessimistic 
          database row locking, which can be a performance hit 
          (depending on the database). If appropriate for your 
          application, optimistic transactions are typically faster 
          than datastore transactions.
          
                        <para>
Optimistic transactions provide the same transactional guarantees as datastore
transactions, except that you must handle a potential optimistic verification
exception at the end of a transaction instead of assuming that a transaction
will successfully complete. In many applications, it is unlikely that different
concurrent transactions will operate on the same set of data at the same time,
so optimistic verification increases the concurrency, and therefore both the
performance and scalability characteristics, of the application. A common
approach to handling optimistic verification exceptions is to simply present the
end user with the fact that concurrent modifications happened, and require that
the user redo any work.
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Use query aggregates and projections
          
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          Using aggregates to compute reporting data on the database
          server can drastically speed up queries.  Similarly, using
          projections when you are interested in specific
          object fields or relations rather than the entire object
          state can reduce the amount of data OpenJPA must transfer
          from the database to your application.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Always close resources
                        </emphasis>
                        <para>
<emphasis>scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        <para>
Under certain settings, <classname> EntityManager</classname> s, OpenJPA
<classname>Extent</classname> iterators, and <classname>Query</classname>
results may be backed by resources in the database.
                        </para>
                        <para>
For example, if you have configured OpenJPA to use scrollable cursors and lazy
object instantiation by default, each query result will hold open a <classname>
ResultSet</classname> object, which, in turn, will hold open a <classname>
Statement</classname> object (preventing it from being re-used). Garbage
collection will clean up these resources, so it is never necessary to explicitly
close them, but it is always faster if it is done at the application level.
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Optimize connection pool 
          settings
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        <para>
OpenJPA's built-in connection pool's default settings may not be optimal for all
applications. For applications that instantiate and close many <classname>
EntityManager</classname>s (such as a web application), increasing the size of
the connection pool will reduce the overhead of waiting on free connections or
opening new connections.
                        </para>
                        <para>
You may want to tune the prepared statement pool size with the connection pool
size.
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Use detached state managers
                        </emphasis>
                        <para>
<emphasis>performance</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        <para>
Attaching and even persisting instances can be more efficient when your detached
objects use detached state managers. By default, OpenJPA does not use detached
state managers when serializing an instance across tiers. See
<xref linkend="ref_guide_detach_graph"></xref> for how to force OpenJPA to use
detached state managers across tiers, and for other options for more efficient
attachment.
                        </para>
                        <para>
The downside of using a detached state manager across tiers is that your
enhanced persistent classes and the OpenJPA libraries must be available on the
client tier.
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Utilize the 
                            <classname>
                                
          EntityManager
                            </classname>
                             cache
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                         
          When possible and appropriate, re-using 
                        <classname>
                            
          EntityManager
                        </classname>
                        s and setting the 
          
                        <link linkend="openjpa.RetainState">
                            <literal>
                                
          RetainState
                            </literal>
                        </link>
                         configuration option to 
          
                        <literal>
                            true
                        </literal>
                         may result in significant 
          performance gains, since the 
                        <classname>
                            
          EntityManager
                        </classname>
                        's built-in
          object cache will be used.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Enable multithreaded operation only 
          when necessary
                        </emphasis>
                        <para>
<emphasis>performance</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          OpenJPA respects the 
                        <link linkend="openjpa.Multithreaded">
                            <literal>
                                openjpa.Multithreaded
                            </literal>
                        </link>
                         option in
          that it does not impose synchronization overhead for
          applications that set this value to 
          
                        <literal>
                            false
                        </literal>
                        . If your application is 
          guaranteed to only use single-threaded access to OpenJPA
          resources and persistent objects, setting this option to 
          
                        <literal>
                            false
                        </literal>
                         will result
          in the elimination of synchronization overhead, and may 
          result in a modest performance increase.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Enable large data set 
          handling
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          If you execute queries that return large numbers of objects
          or have relations (collections or maps) that are large, and
          if you often only access parts of these data sets, enabling
          
                        <link linkend="ref_guide_dbsetup_lrs">
                            large result set 
          handling
                        </link>
                         where appropriate can
          dramatically speed up your application, since OpenJPA will
          bring the data sets into memory from the database only as
          necessary.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Disable large data set handling
          
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          If you have enabled scrollable result sets and on-demand 
          loading but do you not require it, consider disabling it 
          again.  Some JDBC drivers and databases (SQLServer for 
          example) are much slower when used with scrolling result 
          sets.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Use short discriminator values, or
          turn off the discriminator
          
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          The default discriminator strategy of storing the class
          name in the discriminator column is quite robust, in that 
          it can handle any class and needs no configuration, but 
          the downside of this robustness is that it puts a 
          relatively lengthy string into each row of the database. 
          With a little application-specific configuration, you can 
          easily reduce this to a single character or integer. This 
          can result in significant performance gains when dealing 
          with many small objects, 
          since the subclass indicator data can become a significant 
          proportion of the data transferred between the JVM and 
          the database.
          
                        <para>
Alternately, if certain persistent classes in your application do not make use
of inheritance, then you can disable the discriminator for these classes
altogether.
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Use the 
                            <classname>
                                
          DynamicSchemaFactory
                            </classname>
                        </emphasis>
                        <para>
<emphasis>performance, validation</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          If you are using a 
                        <link linkend="openjpa.jdbc.SchemaFactory">
                            <literal>
                                openjpa.jdbc.SchemaFactory
                            </literal>
                        </link>
                         setting
          of something other than the default of 
                        <literal>
                            
          dynamic
                        </literal>
                        , consider switching back.  While other
          factories can ensure that object-relational mapping 
          information is valid when a persistent class is first used,
          this can be a slow process.  Though the validation is only 
          performed once for each class, switching back to the
          
                        <classname>
                            DynamicSchemaFactory
                        </classname>
                         
          can reduce the warm-up time for your application.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Do not use XA transactions
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        <link linkend="ref_guide_enterprise_xa">
                            XA transactions
          
                        </link>
                         can be orders of magnitude slower than standard 
          transactions. Unless distributed transaction functionality 
          is required by your application, use standard transactions.
          
                        <para>
Recall that XA transactions are distinct from managed transactions - managed
transaction services such as that provided by EJB declarative transactions can
be used both with XA and non-XA transactions. XA transactions should only be
used when a given business transaction involves multiple different transactional
resources (an Oracle database and an IBM transactional message queue, for
example).
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Use 
                            <classname>
                                Set
                            </classname>
                            s 
          instead of 
                            <classname>
                                List/Collection
                            </classname>
                            s
          
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          There is a small amount of extra overhead for OpenJPA to 
          maintain collections where each element is not guaranteed 
          to be unique.  If your application does not require 
          duplicates for a collection, you should always declare your
          fields to be of type 
                        <classname>
                            Set, SortedSet, 
          HashSet,
                        </classname>
                         or 
                        <classname>
                            TreeSet
                        </classname>
                        .
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Use query parameters instead of
          encoding search data in filter strings
                        </emphasis>
                        <para>
<emphasis>performance</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          If your queries depend on parameter data only known at
          runtime, you should use query parameters rather than
          dynamically building different query strings. OpenJPA
          performs aggressive caching of query compilation
          data, and the effectiveness of this cache is diminished if
          multiple query filters are used where a single one could
          have sufficed.
          
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Tune your fetch groups
          appropriately
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          The 
                        <link linkend="ref_guide_fetch">
                            fetch groups
                        </link>
                        
          used when loading an object control how much data is
          eagerly loaded, and by extension, which fields must be
          lazily loaded at a future time. The ideal fetch group
          configuration loads all the data that is needed in one
          fetch, and no extra fields - this minimizes both the
          amount of data transferred from the database, and the
          number of trips to the database.
          
                        <para>
If extra fields are specified in the fetch groups (in particular, large fields
such as binary data, or relations to other persistence-capable objects), then
network overhead (for the extra data) and database processing (for any necessary
additional joins) will hurt your application's performance. If too few fields
are specified in the fetch groups, then OpenJPA will have to make additional
trips to the database to load additional fields as necessary.
                        </para>
                    </entry>
                </row>
                <row>
                    <entry colname="name">
                        <emphasis role="bold">
                            Use eager fetching
                        </emphasis>
                        <para>
<emphasis>performance, scalability</emphasis>
                        </para>
                    </entry>
                    <entry colname="desc">
                        
          Using 
                        <link linkend="ref_guide_perfpack_eager">
                            eager 
          fetching
                        </link>
                         when loading subclass data or traversing 
          relations for each instance in a large collection of 
          results can speed up data loading by orders of magnitude.
          
                    </entry>
                </row>
            </tbody>
        </tgroup>
    </table>
</chapter>