Most efficient way to query cassandra in small time-based chunks
问题 My Cassandra-based application needs to read the rows changed since last read. For this purpose, we are planning to have a table changed_rows that will contain two columns - ID - The ID of the changed row and Updated_Time - The timestamp when it was changed. What is the best way to read such a table such that it reads small group of rows ordered by time. Example: if the table is: ID Updated_Time foo 1000 bar 1200 abc 2000 pqr 2500 zyx 2900 ... xyz 901000 ... I have shown IDs to be simple 3