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Fix small typos in comments, add a comment.
The introducing paragraph README could use some more love, but let's at least fix the typos.
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@@ -1,6 +1,6 @@
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# Zenith
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Zenith is an serverless open source alternative to AWS Aurora Postgres. It separates storage and compute and substitutes PostgreSQL storage layer by redistributes data across a cluster of nodes.
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Zenith is a serverless open source alternative to AWS Aurora Postgres. It separates storage and compute and substitutes PostgreSQL storage layer by redistributing data across a cluster of nodes.
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## Architecture overview
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@@ -138,7 +138,7 @@ CLI examples:
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* AWS S3 : `${PAGESERVER_BIN} --remote-storage-s3-bucket="some-sample-bucket" --remote-storage-region="eu-north-1" --remote-storage-access-key="SOMEKEYAAAAASADSAH*#" --remote-storage-secret-access-key="SOMEsEcReTsd292v"`
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For Amazon AWS S3, a key id and secret access key could be located in `~/.aws/credentials` if awscli was ever configured to work with the desired bucket, on the AWS Settings page for a certain user. Also note, that the bucket names does not contain any protocols when used on AWS.
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For local S3 installations, refer to the their documentation for name format and credentials.
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For local S3 installations, refer to their documentation for name format and credentials.
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Similar to other pageserver settings, toml config file can be used to configure either of the storages as backup targets.
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Required sections are:
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@@ -78,6 +78,7 @@ use storage_layer::{
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Layer, PageReconstructData, PageReconstructResult, SegmentTag, RELISH_SEG_SIZE,
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};
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// re-export this function so that page_cache.rs can use it.
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pub use crate::layered_repository::ephemeral_file::writeback as writeback_ephemeral_file;
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static ZERO_PAGE: Bytes = Bytes::from_static(&[0u8; 8192]);
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@@ -69,7 +69,7 @@ def test_write_amplification(zenith_simple_env: ZenithEnv, zenbenchmark):
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# more memory isn't the right solution. We could
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# demonstrate the effect also by generating the WAL
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# slower, adding some delays in this loop. But forcing
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# the the checkpointing and GC makes the test go faster,
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# the checkpointing and GC makes the test go faster,
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# with the same total I/O effect.
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pscur.execute(f"do_gc {env.initial_tenant} {timeline} 0")
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