Building software
sari and
Building software
I’ve built software that iterates slower than SpaceX is iterating starships.
Between 1 & 2: new actuation, launch pad cooling, hot staging and on and on
“For any given technology development, it’s how many iterations you have and the time between... See more
Patrick OShaughnessyx.comIn 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.
nametwitter.comIn Elasticsearch, these partitions are known as shards . Each node of the Elasticsearch cluster can serve queries independently for the partition it manages, thereby increasing query throughput.
Improving query performance in ElasticSearch at scale
The "Painless" data migration
- Another challenge was to incorporate the above changes for the existing data i.e. increasing the number of shards and defining a custom routing key for each of the document. The existing index had close to 33 MN documents at the time of the change
- Given that the routing key and the number of shards needed to changes, a
Improving query performance in ElasticSearch at scale
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
Improving query performance in ElasticSearch at scale
blogs.halodoc.io
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
15 Types of Databases and When to Use Them
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