The quickest way to start a pg DB is via docker container:

docker run -d --name yugabyte  -p7000:7000 -p9000:9000 -p5433:5433 -p9042:9042\
 yugabytedb/yugabyte:latest bin/yugabyted start\
 --daemon=false

If you would like to deploy a pg cluster, please refer to docs of YugabyteDB: https://docs.yugabyte.com/preview/quick-start/install/linux/ or use a cloud PG DB service.

First, you should connect to pg DB

export PGPASSWORD='yugabyte';psql -U yugabyte  -h localhost -d postgres

After connected to the pg DB, execute the following statement to create a database

create database test_lakesoul_meta ;

Then you could init pg database of LakeSoul by script/meta_init.sql.

PGPASSWORD=yugabyte psql -h localhost -p 5433 -U yugabyte -f script/meta_init.sql

By default, the PG database is connected to the local database. The configuration information is as follows,

driver=org.postgresql.Driver,
jdbcUrl=jdbc:postgresql://127.0.0.1:5433/test_lakesoul_meta?stringtype=unspecified
username=yugabyte
password=yugabyte

LakeSoul supports to customize PG database configuration information. Add an environment variable lakesoul_home before starting the Spark program to include the configuration file information.

For example, the PG database configuration information file path name is: /opt/soft/pg.property, you need to add this environment variable before the program starts:

export lakesoul_home=/opt/soft/pg.property

The content format of the configuration file is as follows:

lakesoul.pg.driver=org.postgresql.Driver
lakesoul.pg.url=jdbc:postgresql://127.0.0.1:5433/test_lakesoul_meta?stringtype=unspecified
lakesoul.pg.username=yugabyte
lakesoul.pg.password=yugabyte

You can use customized database configuration information here.

You could download spark distribution from https://spark.apache.org/downloads.html , and please choose spark version 3.1.2.

After unpacking spark package, you could find LakeSoul distribution jar from https://github.com/meta-soul/LakeSoul/releases. Download the tar.gz file corresponding to your spark version and put it into jars directory of your spark environment:

tar xf lakesoul-2.0.1-spark-3.1.2-jars.tar.gz -C $SPARK_HOME/jars

cd into the spark installation directory, and start an interactive spark-shell:

 ./bin/spark-shell --conf spark.sql.extensions=com.dmetasoul.lakesoul.sql.LakeSoulSparkSessionExtension --conf spark.sql.catalog.spark_catalog=org.apache.spark.sql.lakesoul.catalog.LakeSoulCatalog

Before start to use Lakesoul, we should add some paramethers in spark-defaults.conf or Spark Session Builder。