Store indexes as named databases in the same db.

Because we also keep using the same transactions this finally makes
the resource somewhat performant. On my system genericresourcebenchmark
now processes ~4200 messages per second instead of ~280.

1 files changed, 2 insertions, 2 deletions

diff --git a/common/entitystorage.cpp b/common/entitystorage.cpp
index 420c3b0..22fd9e6 100644
--- a/common/entitystorage.cpp
+++ b/common/entitystorage.cpp
@@ -91,10 +91,10 @@ ResultSet EntityStorageBase::filteredSet(const ResultSet &resultSet, const std::
     return ResultSet(generator);
 }
 
-ResultSet EntityStorageBase::getResultSet(const Akonadi2::Query &query, const Akonadi2::Storage::Transaction &transaction, qint64 baseRevision, qint64 topRevision)
+ResultSet EntityStorageBase::getResultSet(const Akonadi2::Query &query, Akonadi2::Storage::Transaction &transaction, qint64 baseRevision, qint64 topRevision)
 {
     QSet<QByteArray> appliedFilters;
-    ResultSet resultSet = queryIndexes(query, mResourceInstanceIdentifier, appliedFilters);
+    ResultSet resultSet = queryIndexes(query, mResourceInstanceIdentifier, appliedFilters, transaction);
     const auto remainingFilters = query.propertyFilter.keys().toSet() - appliedFilters;
 
     //We do a full scan if there were no indexes available to create the initial set.