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[fix-buffering] implement block_ram_buffer_max to avoid excessive RAM usage
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@@ -20,6 +20,7 @@ metadata_auto_snapshot_interval = "6h"
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db_engine = "lmdb"
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block_size = "1M"
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block_ram_buffer_max = "256MiB"
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sled_cache_capacity = "128MiB"
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sled_flush_every_ms = 2000
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@@ -88,6 +89,7 @@ The following gives details about each available configuration option.
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Top-level configuration options:
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[`allow_world_readable_secrets`](#allow_world_readable_secrets),
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[`block_ram_buffer_max`](#block_ram_buffer_max),
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[`block_size`](#block_size),
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[`bootstrap_peers`](#bootstrap_peers),
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[`compression_level`](#compression_level),
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@@ -420,6 +422,37 @@ files will remain available. This however means that chunks from existing files
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will not be deduplicated with chunks from newly uploaded files, meaning you
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might use more storage space that is optimally possible.
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#### `block_ram_buffer_max` (since v0.9.4) {#block_ram_buffer_max}
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A limit on the total size of data blocks kept in RAM by S3 API nodes awaiting
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to be sent to storage nodes asynchronously.
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Explanation: since Garage wants to tolerate node failures, it uses quorum
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writes to send data blocks to storage nodes: try to write the block to three
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nodes, and return ok as soon as two writes complete. So even if all three nodes
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are online, the third write always completes asynchronously. In general, there
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are not many writes to a cluster, and the third asynchronous write can
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terminate early enough so as to not cause unbounded RAM growth. However, if
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the S3 API node is continuously receiving large quantities of data and the
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third node is never able to catch up, many data blocks will be kept buffered in
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RAM as they are awaiting transfer to the third node.
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The `block_ram_buffer_max` sets a limit to the size of buffers that can be kept
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in RAM in this process. When the limit is reached, backpressure is applied
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back to the S3 client.
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Note that this only counts buffers that have arrived to a certain stage of
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processing (received from the client + encrypted and/or compressed as
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necessary) and are ready to send to the storage nodes. Many other buffers will
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not be counted and this is not a hard limit on RAM consumption. In particular,
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if many clients send requests simultaneously with large objects, the RAM
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consumption will always grow linearly with the number of concurrent requests,
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as each request will use a few buffers of size `block_size` for receiving and
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intermediate processing before even trying to send the data to the storage
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node.
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The default value is 256MiB.
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#### `sled_cache_capacity` {#sled_cache_capacity}
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This parameter can be used to tune the capacity of the cache used by
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@@ -225,6 +225,17 @@ block_bytes_read 120586322022
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block_bytes_written 3386618077
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```
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#### `block_ram_buffer_free_kb` (gauge)
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Kibibytes available for buffering blocks that have to be sent to remote nodes.
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When clients send too much data to this node and a storage node is not receiving
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data fast enough due to slower network conditions, this will decrease down to
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zero and backpressure will be applied.
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```
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block_ram_buffer_free_kb 219829
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```
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#### `block_compression_level` (counter)
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Exposes the block compression level configured for the Garage node.
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