From 779ca0701cfabe659be7a71472bbf9259e696069 Mon Sep 17 00:00:00 2001
From: "Vijayakumar Z @ 'Z" <zvijayakumar@gmail.com>
Date: Sun, 19 Feb 2023 09:28:38 +0530
Subject: [PATCH] Create README.md

Initial Readme
---
 README.md | 66 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 README.md

diff --git a/README.md b/README.md
new file mode 100644
index 0000000..3ccf3a1
--- /dev/null
+++ b/README.md
@@ -0,0 +1,66 @@
+Spark Schema Generator from PostgreSQL Table Schema
+This repository contains a Python script that generates a Spark StructType schema from a PostgreSQL table schema.
+
+Requirements
+To use the script, you will need:
+
+Python 3.x
+pyspark module
+psycopg2 module
+Access to a PostgreSQL database with the schema you want to generate a Spark schema for
+Usage
+Clone the repository to your local machine:
+
+git clone https://github.com/yourusername/spark-postgres-schema-generator.git
+Install the required modules:
+
+pip install pyspark psycopg2
+Open the generate_spark_schema.py file in your preferred text editor.
+
+Update the following variables to match your PostgreSQL database connection details:
+
+
+host = "localhost"
+database = "mydb"
+user = "myuser"
+password = "mypassword"
+Update the schema_name variable to match the name of the PostgreSQL schema you want to generate a Spark schema for:
+
+
+python generate_spark_schema.py
+The script will print the generated Spark schema to the console.
+
+Supported PostgreSQL Data Types
+The script supports the following PostgreSQL data types:
+
+ARRAY
+bigint
+boolean
+bytea
+character
+character varying
+date
+double precision
+integer
+json
+name
+numeric
+oid
+smallint
+text
+timestamp with time zone
+timestamp without time zone
+
+
+Notes
+The script assumes that any PostgreSQL column with a NOT NULL constraint is required in the Spark schema, and any column without a NOT NULL constraint is nullable in the Spark schema.
+The script assumes that any PostgreSQL array column contains string elements.
+The script assumes that any PostgreSQL numeric column has a specified precision and scale. If your database uses the default precision and scale for numeric columns, you may need to modify the script to handle this case.
+The script assumes that the PostgreSQL schema name you provide has access to the tables you want to generate a Spark schema for. If you need to generate a schema for tables in a different schema, you will need to update the script accordingly.
+
+License
+This project is licensed under the MIT License. See the LICENSE file for details.
+
+
+
+