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The choice of the routing key in our case was a combination of the unique identifier (UUID) and type of the primary participant of each event in a calendar. This choice was made based on the querying patterns of the consuming application and to maintain a degree of uniqueness.
Improving query performance in ElasticSearch at scale
Efecto Studios – An experienced game developer, focused on developing video games for almost every major gaming device, with a team that has worked on several console titles.
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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:
Pros
- The query speeds improve as, instead of instructing Elasticsearch to Get all the data matching... , you say Go there and get all the data matching... ( Fig 6 ). If you are querying data with multiple unique routing keys, this guarantees better or equivalent query performance as that of the default routing strategy (reducing the scatter and
Improving query performance in ElasticSearch at scale
In most companies, activity is driven by the org chart. That’s how decisions are made, communicated, and acted on. That’s why it’s hard to scale as a company grows. Deep org charts give structure to huge hierarchies of people, but they’re not great for executing on projects.
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