For cross-cluster operation with the Spark/Cassandra connector, you can look at this trick: http://www.slideshare.net/doanduyhai/fast-track-to-getting-started-with-dse-max-ing/64
On Mon, Dec 21, 2015 at 1:14 PM, George Sigletos <sigle...@textkernel.nl> wrote: > Roughly half TB of data. > > There is a timestamp column in the tables we migrated and we did use that > to achieve incremental updates. > > I don't know anything about kairosdb, but I can see from the docs that > there exists a row timestamp column. Could you maybe use that one? > > Kind regards, > George > > On Mon, Dec 21, 2015 at 12:53 PM, Noorul Islam K M <noo...@noorul.com> > wrote: > >> George Sigletos <sigle...@textkernel.nl> writes: >> >> > Hello, >> > >> > We had a similar problem where we needed to migrate data from one >> cluster >> > to another. >> > >> > We ended up using Spark to accomplish this. It is fast and reliable but >> > some downtime was required after all. >> > >> > We minimized the downtime by doing a first run, and then run incremental >> > updates. >> > >> >> How much data are you talking about? >> >> How did you achieve incremental run? We are using kairosdb and some of >> the other schemas does not have a way to filter based on date. >> >> Thanks and Regards >> Noorul >> >> > Kind regards, >> > George >> > >> > >> > >> > On Mon, Dec 21, 2015 at 10:12 AM, Noorul Islam K M <noo...@noorul.com> >> > wrote: >> > >> >> >> >> Hello all, >> >> >> >> We have two clusters X and Y with same keyspaces but distinct data >> sets. >> >> We are planning to merge these into single cluster. What would be ideal >> >> steps to achieve this without downtime for applications? We have time >> >> series data stream continuously writing to Cassandra. >> >> >> >> We have ruled out export/import as that will make us loose data during >> >> the time of copy. >> >> >> >> We also ruled out sstableloader as that is not reliable. It fails often >> >> and there is not way to start from where it failed. >> >> >> >> Any suggestions will help. >> >> >> >> Thanks and Regards >> >> Noorul >> >> >> > >