Distributed indexing
Indexing process
- When you index a document, the node that receives your HTTP request determines which shard should contain your document, based on a hash of the document’s ID.
- Then, it forwards the document to the node holding that primary shard.
- Once the shard is updated, the document is sent to be indexed in all replicas of that shard.
- Finally, the indexing command returns after all replicas are updated.
This process keeps replicas in sync and allows them to serve searches and to be promoted to primary shards in case the original primary is unavailable.
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MORE IDEAS FROM Elasticsearch Cluster Layout
- Node = An Elasticsearch process. It's recommended to run each node on a separate server.
- Cluster = Set of one or more nodes.
- Shard = Part of an index, used for distributing data across the cluster.
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Elasticsearch divides each index into shards, which are standalone Lucene indices. These can be either primary shards or replicas.
The number of shards and replicas per shard is set when a new index is created. After that, Elasticsearch takes care of evenly distributing the shards across the cluster. For maximum availability and performance, it ensures that replica shards are not on the same node as their correspondent primary shard.
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Searching an index requires Elasticsearch to query a set of shards that contain all your data. Since shards are distributed across multiple nodes, this query will be forwarded to multiple nodes.
Search process
- When you make a search request, the node that receives it forwards it to a set of shards that contain all your data. These can be either primary shards or replicas, and are chosen in a round-robin fashion.
- Then, the coordinator node gathers the results from those shards, aggregates and sorts them, and sends the results back to the client.
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RELATED IDEA
Docker is an open source containerization toolkit which enables developers to package applications into containers.
As the name suggests, Docker is like a container ship which provides means to sort, link, manage and ship containers from a development setup into production.
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Docker is a very powerful tool for development and code deployment. This is what you’re missing to take it to the next level!
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It’s a cluster comprised of a group of physical and virtual machines running the Docker Engine, these are called nodes.
One of the nodes is elected to be the Leader by using the Raft consensus algorithm. He make all the orchestration decisions for the swarm. In case of failure, a new leader it’s automatically elected.
Manager nodes assign tasks to Worker nodes. They can do some other managerial tasks. You want to have an odd number of managers, for reliability purposes. Having to many managers can degrade performance, it’s recommended to have at most 7.
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So you started development using a Docker architecture but you don’t know how to scale and deploy?
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Definition of branding: The marketing practice of creating a name, symbol or design that identifies and differentiates a product from other products
Your brand strategy is how, what, where, when, and to whom you plan on communicating and delivering your brand messages. Where you advertise is part of your brand strategy. Your distribution channels are also part of your brand strategy. And what you communicate visually and verbally is part of your brand strategy, too. Now how does this affect consumer's behavior? what do you need to do to drive positive consumer behavior
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❤️ Brainstash Inc.