问题描述
我在不同的数据中心上有2个cassandra集群（请注意，这是2个不同的集群，而不是具有multidc的单个集群），并且这两个集群都具有相同的键空间和列族模型。我希望以最有效的方式将列族C的数据从群集A复制到群集B。我可以通过get和put操作复制其他一些ColumnFamily，因为它是一个时间序列，并且键是顺序的。但是，这另一列C系列，我可以复制。我正在使用节俭和pycassa。我使用了CQL COPY命令，但不幸的是CF太大，我收到了rpc_timeout。我该如何完成呢？
如果您只是想一次性完成此操作，请快照并使用sstableloader将其加载到集群中。如果您希望随着时间的推移继续加载新数据，则需要打开增量备份，然后制作快照以加载初始数据，然后定期从增量备份中抓取sstables到sstableload中以保持最新状态。 / p>
I Have 2 cassandra clusters, on different datacenter (note that these are 2 different clusters, NOT a single cluster with multidc), and both clusters have the same keyspace and columnfamily models. I wish to copy data of columnfamily C from Cluster A to cluster B in the most efficient way. Some other ColumnFamily I was able to copy with get and put operations, since it was a time series and the keys sequential. But this other column family C, I coulnd copy. I'm using thrift and pycassa. I've ried the CQL COPY command, but unfortunately the CF is too large and I get a rpc_timeout. How can I accomplish this?
If you just want to do this as a one time thing, then take a snapshot and use the sstableloader to load that into the cluster. If you want to keep loading new data over time you will want to turn on incremental_backups, then take a snapshot to load for the initial data, and then periodically grab the sstables out of the incremental backups to sstableload to keep things up to date.
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