On May 28, 2008, at 10:02 AM, Pinaki Poddar wrote:


Hi Patrick,
Historically, we've assumed that for the purposes of refresh(), the
data cache is always correct with respect to the database.

Yes, I understand the import/impact of my suggestion to bypass DataCache altogether for refresh(). And hence I value what you are saying in this
regard. My suggestion is leaned towards spec-compliance (or rather my
assumption of what the mythical 'user' wants as refresh() behavior). The spec says for refresh() as in JavaDoc: "Refresh the state of the instance from the database, overwriting changes made to the entity, if any". I read it as: "the user wants refresh() to hit the database". You can always refute that assumption because of the core axiom:" Nobody really knows what does
the user want".

The issue here is that the data cache is not a specified concept. So we are really on our own here.

The concept of refresh is in JPA, but the concept of evict is not. So I think that refresh should work as advertised with or without the data cache. Which means that data should be retrieved from the database (not the cache).

But clearly, some applications will operate in an environment where the data cache is always kept current, by the global cache manager. In these cases, it is sufficient to refresh from the cache and not go to the database. For this situation, I'd prefer that the user set a flag in the EntityManagerFactory that says RefreshFromCache if the global cache manager can guarantee that the cache is kept in sync with the database.

And I'd go farther, by asking that this concept be put into the JPA spec explicitly, if the expert group adopts the cache API.

Craig


The other relevant bit is the flag FORCE_LOAD_REFRESH in StoreManager. The
flag was there and Broker.refreshInternal() used it to call the
StoreManager.loadAll(). That is the only place the flag had been used.
However, DataCacheStoreManager ignored it. In fact, I used it now to bypass DataCache for refresh(). May be some one can comment on the original intent
behind that flag?

 But, Patrick, you lead a wider discussion on the implicit design
assumption: "the data cache is always correct with respect to the database". Going forward, with pessimistic transaction being part of the spec, this view of DataCache being the 'in-memory replica of database' will be harder
to comply and perhaps requires a revisit.

2. Inconsistent in-memory model:
 The other issue being discussed in this thread i.e. "inconsistent
in-memory data model" also tends to show limitation of the view that
DataCache is a replica of database albeit from a representational form.
Database represents relation/data differently than DataCache does.
Inconsistent relations, under some mapping, automagically becomes consistent
in the database because while Java (and DataCache) represents a
bi-directional relation with a pair of variables (and hence leaving room for inconsistency), database has a single foreign key column and hence no scope
for ambiguity.
Can we analyze the data in DataCache to detect such data that are prone to
inconsistencies and hence leave them from being cached?  perhaps yes.
Does it worth it? no, because assuming that data is mostly consistent, it will penalize the consistent model to save some careless programmer who could not keep their model consistent. Also InverseManager already can do
that at L1 cache level, for some inconsistencies.


3. retiring the 'optimization' on refresh
there were two refreshInternal() methods, one with a single instance and other with a collection. They had very similar code except a boolean flag
that impacted behavior of a single instance. The collection form used
loadAll() for better performance and I kept that. Maintaining very similar
(but not the same) code for a single instance versus a collection of
instance is risky.




Patrick Linskey-2 wrote:

b) bypasses Data cache for refresh() altogether

Historically, we've assumed that for the purposes of refresh(), the
data cache is always correct with respect to the database. I.e., the
assumption has been that if changes were made out-of-band, then the
developer would call DataCache.evict() prior to refresh(). It would
seem that your suggestion significantly changes this assumption.

For the case of Broker.evict() calls, the Broker has a special setting
(setEvictFromDataCache()) that allows configuration of whether or not
Broker.evict() also calls DataCache.evict(). We should consider this
precedent and the prior assumptions when coming up with a strategy for
changing the semantics of refresh().

c) throws away 'optimization' for a single entity

Can you describe this in more detail? Optimizations are generally
there for a reason -- getting rid of it might very well lead to sub-
optimal behavior.

-Patrick

On May 28, 2008, at 9:38 AM, Pinaki Poddar wrote:


Hi Craig,
Committed revision 660753 towards a model that
a) corrects refresh() behavior of single, clean entity
b) bypasses Data cache for refresh() altogether
c) throws away 'optimization' for a single entity

Pinaki


Craig L Russell wrote:

Hi Pinaki,

On May 27, 2008, at 3:00 PM, Pinaki Poddar wrote:


After some more analysis of refresh() issue...

1. it is observed that a refresh of a single, clean instance never
hits the
database -- irrespective of whether Data Cache is active or not.
That does
not appear spec compliant.

I agree.


2. refresh() behaves differently on current lock level. With NO LOCK
it
reads from Data Cache; on any stronger lock it hits the database.
I am of the opinion that all refresh() must bypass data cache
altogether
always -- because refresh() seems to express explicit intent of the
user to
read data from database (say when the application thinks that out-
of-
band
modifications may have taken place on the database).

I agree.


3. There is an 'optimization' on BrokerImpl.refresh() -- one for a
single
entity and other for a collection. Removing that optimization (which
leaves
some maintenance concern of similar but not same code blocks) is
another
suggestion.

Seems that if the user calls refresh on a single entity or on a
collection, then we should hit the database every time. Who are we to know that the database hasn't changed in the last millisecond? Sure,
we're smart, but we're not omniscient.

Craig



Comments?


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