Hello all,
I have a few things that I need to understand.
1 . Here is the scenario: we have a HUGE cf where there are daily writes it is
like a time series. Now we want to change the type of a column in primary key.
What I think we can do is to export to csv, create the new table and write back
the transformed data. But here is the catch... the constant writes in the cf. I
assume that by the time the export finishes, new data will be inserted in the
source cf. So is there a tool that will export data without having to stop the
writes?
2. I have seen that there is a new compaction strategy: DTCS, that will better
fit historical data. This compaction strategy will take into account
writeTime() of an entry or will it be smart enough and detect that the column
family is a time series and take into account those timestamps when creating
the time windows? I am asking this since when we write to the cf, the time for
a particular record is 00:00h of a given day, so basicaly all entries have the
same timestamp value in the cf but of course different writeTime() .
