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Mat Brown’s Followers (1)
Mat Brown
* Note: these are all the books on Goodreads for this author. To add more, click here.
“Note that master-follower databases are not distributed: every machine has a full copy of the dataset. Master-follower replication is great for scaling up the processing power available for handling read requests, but does nothing to accommodate arbitrarily large datasets. Master-follower replication also provides some resilience against machine failure: in particular, failure of a machine will not result in data loss, since other machines have a full copy of the same dataset.”
― Learning Apache Cassandra: Manage Fault Tolerant and Scalable Real-Time Data
― Learning Apache Cassandra: Manage Fault Tolerant and Scalable Real-Time Data
“Cassandra doesn't only send the request to one replica; instead, it sends the request to all the interested replicas, and then fulfills the request as soon as the first one responds successfully.”
― Learning Apache Cassandra: Manage Fault Tolerant and Scalable Real-Time Data
― Learning Apache Cassandra: Manage Fault Tolerant and Scalable Real-Time Data
“We saw that counter columns can coexist in a table only with other counter columns; they can't be in the same table as other data columns or collection columns.”
― Learning Apache Cassandra: Manage Fault Tolerant and Scalable Real-Time Data
― Learning Apache Cassandra: Manage Fault Tolerant and Scalable Real-Time Data
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