Building software
sari and
Building software
- The number of partitions is fixed at the time of the index creation. Each partition is an indivisible chunk of data which can grow in size but not be split into smaller chunks. As the data grows, more nodes may be added to the cluster, but the number of partitions which eventually move to the newer nodes are limited (Fig 3)
- In some sense, as the
Improving query performance in ElasticSearch at scale
The formula in Fig 5 is one of the reasons why Elasticsearch does not allow the update of the number of primary shards post index creation. What the default routing guarantees is that the data will be uniformly distributed across the cluster which would reduce query hotspots when retrieving documents
Database Partitioning is when you split the data inside the database into smaller "databases". One partition holds a part of your data. All partitions together form the entire database.
Partitioning is often used with replication, which means each partition's data is copied onto multiple nodes. This way, even though each record is in only one partition, it can be stored on different nodes for fault tolerance. A node may hold more than one partition.
When using a leader-follower replication model, the mix of partitioning and replication might look like this:
i want to make software that feels like magic.
i want to make software that is useful, to many people; that is valuable, that makes sense. but that's also surprising, pleasant, funny.
i want to make software is serious and makes sense but is also silly and doesn't.
eugene is building untitled map apptwitter.com
