Thank you Adam. I appreciate the tips. I went ahead and tried to integrate 
H2, with a goal of comparing performance with both real postgres and with 
hashtables. But I quickly ran into postgres compatibility issues:

   1. Postgres adds ::regClass to the end of nextVal function calls on 
   table columns. H2 doesn't like that. Fortunately, I was able to workaround 
   that by just simply removing ::regClass from the ddl. :-)
   2. We extensively use jsonb columns and jsonb queries, and H2 appears to 
   not support that. I suspect that it may also not support network address 
   column types and functions, which we use a lot.

If you have any suggestions for working around that, or a different 
approach, I'd appreciate that. I'm not sure we'll do extensive re-"design 
for testability" on those things.


On Sunday, July 3, 2016 at 1:51:08 AM UTC-4, [email protected] 
wrote:
>
> Having spent much time on many part of this, hopefully I can save you some 
> time Jacob
>
> (1) If your tests require pgSQL running, they are not unit tests - they 
> are integration tests.  In the limit these types of tests produce a test 
> suite that is too slow to be useful, but also likely too much code to 
> economically fix, and the likelihood that you will have to throw away the 
> system is very real. 
>
> (2) DAO is a useful abstraction, and they make testing DAO-dependent 
> really easy - just mock the DAO!  But how do you test the DAO's themselves? 
>  The job of the DAO is to present a simple interface to client-code, and 
> reliably perform some type of database-manipulation.  Clearly the best way 
> test this is to run a DAO against a database and see if the desired 
> manipulation results from calling a DAO method.  (Worth noting that jOOQ 
> allows you to mock-out DSL.using(jooq).* but this is not usable at a 
> level that invites concise and reliable DAO testing)
>
> (3) If you have to run a database (or something like a database), then you 
> need to be able to do joins, etc.  FTR I think it is short-sighted to try 
> to do this using hash tables - H2 is designed just for this purpose!
>
> (4) .. and this is the punch-line.  JOOQ captures much meta-data when you 
> do jOOQ-generate, and can generate DDL for you in H2!   
>
> DSLContext dsl = DSL.using(yourJooqH2Config);
>
> // The TABLE, UNIQUE and PRIMARY_KEY flags tell jOOQ what DDL Meta-Data you 
> would like jOOQ to copy from your 
>
> // original schema into the H2 in-mem db.  FOREIGN-KEY can be problematic.  
>
> // queries should contain only one query (the CREATE TABLE) query
> Query[] queries = dsl.ddl(tableToCreateInH2, TABLE, UNIQUE, 
> PRIMARY_KEY).queries();
>
>
>
>
> On Friday, July 1, 2016 at 10:06:20 AM UTC-4, Jacob G wrote:
>>
>> I see what you mean. We unit test our DAO layer against the real postgres 
>> db. But at the service layer, I'm working on re-designing our test classes 
>> to use "memory DAOs". I started with the approach to write memory DAO 
>> versions of every DAO class, essentially instead of JOOQ queries to do 
>> hashtable stream filter/map, etc. It's extremely fast: test classes that 
>> took 10 seconds to execute now take less than 100 ms. But it's a lot of 
>> effort, and forces us to make sure our real DAO classes are properly unit 
>> tested in all cases.
>>
>> Hopefully, H2 will give us similar speed and configuration simplicity, 
>> without all the development effort!
>>
>> FYI, for the hashtable implementation I started, I use a class that 
>> maintains all the hashtables to support join emulation:
>>
>> //
>> // The purpose of this class is to enable memory dal classes to emulate the 
>> following sql
>> // features by providing a central service of all repositories by type:
>> //   1) sql joins
>> //   2) long-based primary key sequence generation
>> //
>> @Singleton
>> public class MemoryRepositoryService implements IMemoryRepositoryService {
>>
>>    private final  Map<Class<? extends UpdatableRecord<?>>,
>>                   Map<?, ? extends UpdatableRecord<?>>> _repositories;
>>    private final Map<Class<? extends UpdatableRecord<?>>, Class<?>> _idTypes;
>>
>>    private AtomicLong _sequenceGenerator;
>>
>>    public MemoryRepositoryService() {
>>       _repositories = new HashMap<>();
>>       _idTypes = new HashMap<>();
>>       _sequenceGenerator = new AtomicLong();
>>    }
>>
>>    @Override
>>    public <R extends UpdatableRecord<R>, T> Map<T, R> repository(Class<R> 
>> valueClass,
>>                                                                 Class<T> 
>> keyClass)
>>    {
>>       if (_repositories.containsKey(valueClass)) {
>>          validateKeyClass(keyClass);
>>          return (Map<T, R>) _repositories.get(valueClass);
>>       } else {
>>          return syncRepository(valueClass, keyClass);
>>       }
>>    }
>>
>>    private synchronized <R extends UpdatableRecord<R>, T>
>>                         Map<T, R> syncRepository(Class<R> valueClass, 
>> Class<T> keyClass)
>>    {
>>       Map<T, R> repository;
>>
>>       // double checked lock
>>       if (_repositories.containsKey(valueClass)) {
>>          validateKeyClass(keyClass);
>>          repository = (Map<T, R>) _repositories.get(valueClass);
>>       } else {
>>          repository = new ConcurrentHashMap<>();
>>          _idTypes.put(valueClass, keyClass);
>>          _repositories.put(valueClass, repository);
>>       }
>>
>>       return repository;
>>    }
>>
>>    private <T> void validateKeyClass(Class<T> keyClass) {
>>       if (!_idTypes.get(keyClass).equals(keyClass)) {
>>          throw new IllegalArgumentException(
>>                "Key type does not match existing registered type");
>>       }
>>    }
>>
>>    @Override
>>    public synchronized void clear() {
>>       _repositories.values().forEach(Map::clear);
>>    }
>>
>>    @Override
>>    public long nextLong() {
>>       return _sequenceGenerator.incrementAndGet();
>>    }
>> }
>>
>>
>>  
>>
>> On Friday, July 1, 2016 at 9:33:07 AM UTC-4, Lukas Eder wrote:
>>>
>>> First, you'll add a bunch of values in 1-2 hashmaps. Then you refactor. 
>>> Then you figure out that very often, these hashmaps are rather similar. 
>>> Then you notice that minimal transactionality is nice. And perhaps locking. 
>>> And suddenly, you have implemented a full scale RDBMS built on hashmaps 
>>> that can be queried using a DSL that looks like SQL... Why go through all 
>>> that hassle? :)
>>>
>>> The nice thing about H2 is that in principle, you could just keep a copy 
>>> of your .db file somewhere and restore that at the end of a test that 
>>> includes writing...
>>>
>>> Cheers,
>>> Lukas
>>>
>>> 2016-07-01 15:09 GMT+02:00 Jacob G <[email protected]>:
>>>
>>>> Thanks. I'll take a look at it, particularly to evaluate in-process 
>>>> mode, performance, and complexity of configuration, schema setup and 
>>>> teardown between each unit test method. The nice thing about hash tables 
>>>> is 
>>>> there is no schema setup or teardown.
>>>>
>>>> On Friday, July 1, 2016 at 8:04:37 AM UTC-4, Lukas Eder wrote:
>>>>>
>>>>> Yes, that exists, and it has a name! H2 in-memory database. :) (or 
>>>>> HSQLDB or Derby)
>>>>>
>>>>> Hope this helps.
>>>>> Lukas
>>>>>
>>>>> 2016-07-01 13:46 GMT+02:00 Jacob G <[email protected]>:
>>>>>
>>>>>> For unit testing, I'd like to be able to use in-memory hash tables 
>>>>>> for data rather than a database. Rather than re-implement memory-based 
>>>>>> DAO 
>>>>>> classes for every JOOQ-based DAO class, I'd rather have JOOQ execute 
>>>>>> itself 
>>>>>> on hash tables. Conceptually, it seems very doable since Jooq's powerful 
>>>>>> metadata model lends itself to being rendered and executed in 
>>>>>> alternative 
>>>>>> ways to sql.
>>>>>>
>>>>>> Has anyone thought about this, or even worked on or implemented such 
>>>>>> a solution?
>>>>>>
>>>>>> If I were to go about it, what approach would you suggest, and are 
>>>>>> there existing hooks I can use to redirect Jooq to a different hash 
>>>>>> table 
>>>>>> implementation. I see that there is a hook for connections once sql is 
>>>>>> rendered, but I'd like to hook in before that, while the query is still 
>>>>>> an 
>>>>>> object. Is that what AbstractDelegatingQuery is for? Any other concerns?
>>>>>>
>>>>>> -- 
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>>>>>>
>>>>>
>>>>> -- 
>>>> You received this message because you are subscribed to the Google 
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>>>>
>>>
>>>

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