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Spark Schema Generator from PostgreSQL Table Schema | ||
This repository contains a Python script that generates a Spark StructType schema from a PostgreSQL table schema. | ||
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Requirements | ||
To use the script, you will need: | ||
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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: | ||
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git clone https://github.com/yourusername/spark-postgres-schema-generator.git | ||
Install the required modules: | ||
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pip install pyspark psycopg2 | ||
Open the generate_spark_schema.py file in your preferred text editor. | ||
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Update the following variables to match your PostgreSQL database connection details: | ||
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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: | ||
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python generate_spark_schema.py | ||
The script will print the generated Spark schema to the console. | ||
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Supported PostgreSQL Data Types | ||
The script supports the following PostgreSQL data types: | ||
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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 | ||
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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. | ||
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License | ||
This project is licensed under the MIT License. See the LICENSE file for details. | ||
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