Andrés
@andalm
Let the technical be tangible, free of any mystical aura ✨
Andrés
github.com
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:
switching cost (aka "lock-in"): how difficult will be for us to move to another solution?
unique utility: how much are we gaining from the solution compared to alternatives?
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
This led to a virtuous cycle: as more companies adopt Terraform, more developers start using it; those developers contribute to Terraform, fixing bugs, improving security, adding new features, creating new tools and extensions, etc.; that makes Terraform even more compelling, so even more companies adopt it, and the cycle continues. As a result,... See more
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We have reached an agreement in principle for Sam Altman to return to OpenAI as CEO with a new initial board of Bret Taylor (Chair), Larry Summers, and Adam D'Angelo.
We are collaborating to figure out the details. Thank you so much for your patience through this.
OpenAItwitter.com