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https://issues.apache.org/jira/browse/AVRO-946?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13141567#comment-13141567
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Hernan Otero commented on AVRO-946:
-----------------------------------
On further thought, the proposed implementation does have a shortcoming. In
order to leverage the optimization, the GenericDatumWriter needs to be shared.
And the current cache implementation is not thread safe.
One option would be to make the cache thread safe (e.g. use a ConcurrentMap or
similar structure), a second option would be to move this all back to
UnionSchema, but for the time being (pending the longer term solution of making
UnionSchema public and extensible), rely on a HashMap<String, Integer> using
the datum's schema's getFullName() as key (to avoid the need to rely on
identity).
Any thoughts/suggestions?
Thanks,
Hernan
> GenericData.resolveUnion() performance improvement
> --------------------------------------------------
>
> Key: AVRO-946
> URL: https://issues.apache.org/jira/browse/AVRO-946
> Project: Avro
> Issue Type: Improvement
> Components: java
> Affects Versions: 1.6.0
> Reporter: Hernan Otero
> Attachments: AVRO-946.patch
>
>
> Due to the sequential nature of today's implementation of
> GenericData.resolveUnion() (used when serializing an object):
> {code}
> public int resolveUnion(Schema union, Object datum) {
> int i = 0;
> for (Schema type : union.getTypes()) {
> if (instanceOf(type, datum))
> return i;
> i++;
> }
> throw new UnresolvedUnionException(union, datum);
> }
> {code}
> it showed up when we were doing some serialization performance analysis. A
> simple optimization can be implemented by keeping a map within the
> UnionSchema object (in fact, this could actually be a perfect hash map given
> the potential values in the map are known in advance). The optimization is
> obviously most notable when a Union within the schema contains many types (in
> our particular use case, more than 40 in some cases). In this scenario, we
> observed a 25% improvement by using an identity hash map.
> Even though using an identity map provides a significant boost, we have
> observed an even further improvement (and removed some of the restrictions of
> relying on object identity) by using a perfect hash map on the schema names
> (an extra 15% on top of that in some cases). This implementation,
> unfortunately, is not something we could contribute at this point, but we
> thought it'd be a good idea to allow users to provide alternative
> implementations of the indexing behavior, such as adding the following static
> method to Schema:
> {code}
> public static void setUnionTypeIndexCacheFactory(UnionIndexCacheFactory
> factory)
> {
> unionIndexCacheFactory = factory;
> }
> {code}
> This is what the interface and identity hash map-based implementation would
> look like:
> {code}
> /**
> * A factory interface for creating UnionTypeIndexCache instances.
> */
> public static interface UnionIndexCacheFactory
> {
> UnionIndexCache createUnionIndexCache(List<Schema> types);
> /**
> * Used for caching schema indices within a union.
> */
> public static interface UnionIndexCache
> {
> void setTypeIndex(Schema schema, int index);
> int getTypeIndex(Schema schema);
> }
> }
> private static class IdentityMapUnionIndexCacheFactory implements
> UnionIndexCacheFactory
> {
> @Override
> public UnionIndexCache createUnionIndexCache(List<Schema> types)
> {
> return new UnionIndexCache()
> {
> private final IdentityHashMap<Schema, Integer> schemaToIndex =
> new IdentityHashMap<Schema, Integer>();
> @Override
> public void setTypeIndex(Schema schema, int index)
> {
> schemaToIndex.put(schema, index);
> }
> @Override
> public int getTypeIndex(Schema schema)
> {
> Integer index = schemaToIndex.get(schema);
> return index == null ? -1 : index;
> }
> };
> }
> }
> {code}
> I will attach a patch later today or early tomorrow.
> Thanks in advance,
> Hernan Otero
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