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Zenith

Zenith substitutes PostgreSQL storage layer and redistributes data across a cluster of nodes

Running local installation

  1. Build zenith and patched postgres
git clone --recursive https://github.com/libzenith/zenith.git
cd zenith
make
  1. Start pageserver and postggres on top of it (should be called from repo root):
# Create ~/.zenith with proper paths to binaries and data
# Later that would be responsibility of a package install script
>./target/debug/zenith init

# start pageserver
> ./target/debug/zenith pageserver start
Starting pageserver at '127.0.0.1:64000'

# create and configure postgres data dir
> ./target/debug/zenith pg create
Creating new postgres: path=/Users/user/code/zenith/tmp_check_cli/compute/pg1 port=55432
Database initialized

# start it
> ./target/debug/zenith pg start pg1

# look up status and connection info
> ./target/debug/zenith pg list     
NODE		ADDRESS				STATUS
pg1			127.0.0.1:55432		running
  1. Now it is possible to connect to postgres and run some queries:
> psql -p55432 -h 127.0.0.1 postgres
postgres=# CREATE TABLE t(key int primary key, value text);
CREATE TABLE
postgres=# insert into t values(1,1);
INSERT 0 1
postgres=# select * from t;
 key | value 
-----+-------
   1 | 1
(1 row)

Running tests

git clone --recursive https://github.com/libzenith/zenith.git
make # builds also postgres and installs it to ./tmp_install
cargo test -- --test-threads=1

Source tree layout

/walkeeper:

WAL safekeeper. Written in Rust.

/pageserver:

Page Server. Written in Rust.

Depends on the modified 'postgres' binary for WAL redo.

/integration_tests:

Tests with different combinations of a Postgres compute node, WAL safekeeper and Page Server.

/mgmt-console:

Web UI to launch (modified) Postgres servers, using S3 as the backing store. Written in Python. This is somewhat outdated, as it doesn't use the WAL safekeeper or Page Servers.

/vendor/postgres:

PostgreSQL source tree, with the modifications needed for Zenith.

/vendor/postgres/src/bin/safekeeper:

Extension (safekeeper_proxy) that runs in the compute node, and connects to the WAL safekeepers and streams the WAL

Description
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
Readme Apache-2.0 133 MiB
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