Update the v3 storage diagram with missing components (#5558)
* update v3 storage diagram with missing components * remove orphaned style tag from svg * Apply suggestions from code reviewpull/5562/head^2
Scott Anderson
GitHub
parent
6944b6ffc9
commit
80371454ba
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@ -23,11 +23,13 @@ queries, and is optimized to reduce storage cost.
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- [Storage engine diagram](#storage-engine-diagram)
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- [Storage engine components](#storage-engine-components)
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- [Router](#router)
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- [Ingester](#ingester)
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- [Querier](#querier)
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- [Catalog](#catalog)
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- [Object store](#object-store)
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- [Compactor](#compactor)
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- [Garbage collector](#garbage-collector)
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- [Scaling strategies](#scaling-strategies)
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- [Vertical scaling](#vertical-scaling)
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- [Horizontal scaling](#horizontal-scaling)
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@ -38,11 +40,29 @@ queries, and is optimized to reduce storage cost.
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## Storage engine components
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- [Router](#router)
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- [Ingester](#ingester)
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- [Querier](#querier)
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- [Catalog](#catalog)
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- [Object store](#object-store)
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- [Compactor](#compactor)
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- [Garbage collector](#garbage-collector)
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### Router
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The Router (also known as the Ingest Router) parses incoming line
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protocol and then routes it to [Ingesters](#ingester).
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To ensure write durability, the Router replicates data to two or more of the
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available Ingesters.
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##### Router scaling strategies
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The Router can be scaled both [vertically](#vertical-scaling) and
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[horizontally](#horizontal-scaling).
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Horizontal scaling increases write throughput and is typically the most
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effective scaling strategy for the Router.
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Vertical scaling (specifically increased CPU) improves the Router's ability to
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parse incoming line protocol with lower latency.
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### Ingester
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@ -150,6 +170,20 @@ increasing the available CPU) is the most effective scaling strategy for the Com
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Horizontal scaling increases compaction throughput, but not as efficiently as
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vertical scaling.
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### Garbage collector
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The Garbage collector runs background jobs that evict expired or deleted data,
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remove obsolete compaction files, and reclaim space in both the [Catalog](#catalog) and the
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[Object store](#object-store).
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##### Garbage collector scaling strategies
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The Garbage collector is not designed for distributed load and should _not_ be
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scaled horizontally. The Garbage collector does not perform CPU- or
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memory-intensive work, so [vertical scaling](#vertical-scaling) should only be
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considered only if you observe very high CPU usage or if the container regularly
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runs out of memory.
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---
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## Scaling strategies
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@ -262,13 +262,22 @@ to automatically scale your cluster as needed.
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## Recommended scaling strategies per component
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- [Router](#router)
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- [Ingester](#ingester)
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- [Querier](#querier)
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- [Router](#router)
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- [Compactor](#compactor)
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- [Catalog](#catalog)
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- [Object store](#object-store)
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### Router
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The Router can be scaled both [vertically](#vertical-scaling) and
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[horizontally](#horizontal-scaling).
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Horizontal scaling increases write throughput and is typically the most
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effective scaling strategy for the Router.
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Vertical scaling (specifically increased CPU) improves the Router's ability to
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parse incoming line protocol with lower latency.
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### Ingester
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The Ingester can be scaled both [vertically](#vertical-scaling) and
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@ -322,13 +331,6 @@ Horizontal scaling increases query throughput to handle more concurrent queries.
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Vertical scaling improves the Querier’s ability to process computationally
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intensive queries.
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### Router
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The Router can be scaled both [vertically](#vertical-scaling) and
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[horizontally](#horizontal-scaling).
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Horizontal scaling increases request throughput and is typically the most effective
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scaling strategy for the Router.
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### Compactor
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The Compactor can be scaled both [vertically](#vertical-scaling) and
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@ -11,6 +11,7 @@ menu:
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parent: InfluxDB internals
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influxdb/clustered/tags: [storage, internals]
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related:
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- /influxdb/clustered/admin/scale-cluster/
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- /influxdb/clustered/admin/custom-partitions/
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---
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@ -23,11 +24,13 @@ queries, and is optimized to reduce storage cost.
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- [Storage engine diagram](#storage-engine-diagram)
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- [Storage engine components](#storage-engine-components)
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- [Router](#router)
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- [Ingester](#ingester)
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- [Querier](#querier)
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- [Catalog](#catalog)
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- [Object store](#object-store)
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- [Compactor](#compactor)
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- [Garbage collector](#garbage-collector)
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## Storage engine diagram
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@ -35,11 +38,29 @@ queries, and is optimized to reduce storage cost.
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## Storage engine components
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- [Router](#router)
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- [Ingester](#ingester)
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- [Querier](#querier)
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- [Catalog](#catalog)
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- [Object store](#object-store)
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- [Compactor](#compactor)
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- [Garbage collector](#garbage-collector)
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### Router
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The Router (also known as the Ingest Router) parses incoming line
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protocol and then routes it to [Ingesters](#ingester).
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To ensure write durability, the Router replicates data to two or more of the
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available Ingesters.
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##### Router scaling strategies
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The Router can be scaled both [vertically](/influxdb/clustered/admin/scale-cluster/#vertical-scaling)
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and [horizontally](/influxdb/clustered/admin/scale-cluster/#horizontal-scaling).
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Horizontal scaling increases write throughput and is typically the most
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effective scaling strategy for the Router.
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Vertical scaling (specifically increased CPU) improves the Router's ability to
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parse incoming line protocol with lower latency.
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### Ingester
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@ -149,3 +170,18 @@ Because compaction is a compute-heavy process, vertical scaling (especially
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increasing the available CPU) is the most effective scaling strategy for the Compactor.
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Horizontal scaling increases compaction throughput, but not as efficiently as
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vertical scaling.
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|
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### Garbage collector
|
||||
|
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The Garbage collector runs background jobs that evict expired or deleted data,
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remove obsolete compaction files, and reclaim space in both the [Catalog](#catalog) and the
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[Object store](#object-store).
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##### Garbage collector scaling strategies
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The Garbage collector is not designed for distributed load and should _not_ be
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scaled horizontally. The Garbage collector does not perform CPU- or
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memory-intensive work, so [vertical scaling](/influxdb/clustered/admin/scale-cluster/#vertical-scaling)
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should only be considered only if you observe very high CPU usage or
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if the container regularly runs out of memory.
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@ -1,127 +1,107 @@
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Before Width: | Height: | Size: 5.6 KiB After Width: | Height: | Size: 6.9 KiB |
Loading…
Reference in New Issue