I have a stream of data that i'm trying to persist into a cluster using
ClusterJ and I'm running into problems.
For each ASCII record that i receive, I'm parsing into Java primitives then
setting the fields on a Java representation that i've gotten via
what i would really like to do then is to call
so that if the primary key already exists in the db the row gets updated,
and if the primary key doesnt exist a new row gets created.
Unfortunately, this doesnt work as I get an exception back if the primary
key already exists.
Is there a way around this without having to do a session.find() on the
primary key and then updating the fields on the object returned ?
The volume of data that I'm trying to insert is quite large (hundreds of
millions of records) and this would seem like a significant overhead if i
had to do a session.find() for every record.
O: 972 588 1414
M: 214 681 9018