Hello Christo, The problem with the original approach is this:
- I have a flat table structure which is is mapped by the following POJO: @Entity @Table(name = "simulation_initial_values") public class SimulationInitialValues extends IdEntity { @Basic @Column(name = "product_id") private Long productId; @Basic @Column(name = "geo_channel_id") private Long geoChannelId; @Basic @Column(name = "category_id", nullable = false) private Long categoryId; @Basic @Column(name = "week", nullable = false) private Integer week; @Basic @Column(name = "type_id", nullable = false) private Integer type; . . . more fields } We consider as primary key combination of: productId, geoChannelId, categoryId, week and type Now, when I perform an in-memory query like: /select from SimulationInitialValues where categoryId in (...) and geoChannelId in (...) and type =? and week between ? and ?/, I will get back a List of SimulationInitialValues objects. Due to the nature of the calculations I have to perform though, I must have all the products rows of each distinct category. So in case of PARTITIONED cache, if I do broadcast, then there is no guarantee that the categories assigned to a job will have all the rows at the local cache. -- View this message in context: http://apache-ignite-users.70518.x6.nabble.com/Distributed-Closures-VS-Executor-Service-tp11192p11861.html Sent from the Apache Ignite Users mailing list archive at Nabble.com.