Hi, The traditional RDBMS has the concept of partitioning a table into different chunks, but that isn't really partitioning data to different nodes as described in the Ignite document. Our team is trying to partition a table based on the values of one column and query data based on these values. For example, there are 3 different values in our partitioned column, A, B and C, and we want to get all data that belong to C and don't want to read anything that belong to A and B.
We have a few ideas on doing this as indicated below: - Create separate tables for A, B and C - Use index for the partitioned column - Use affinity key for the partitioned column (this is more related to if the data are on the same node) I am curious if the above 3 approaches are valid or if there is another way to do this? Is it possible to do the ALTER command in the RDBMS to add partitions? Thanks. Regards, Bill
