Hi <@ULVA73B9P> actually i am new to Prefect cloud...
# marvin-in-the-wild
v
Hi @Marvin actually i am new to Prefect cloud, I am in learning stage ..,Can you help on how we can connect to Postgre Sql Database .. I have been created blocks in prefect UI after that next step i have been stacked..? The actual scenario i am look for Source is a table and destination is also a table in same Database need to create Pipeline in prefect cloud.
m
### Connecting to PostgreSQL with Prefect Cloud To connect to a PostgreSQL database and set up a data pipeline where the source and destination are tables in the same database, follow these steps: #### 1. Create a Block in Prefect UI You've already created a block in the Prefect UI, so let's proceed with using it. #### 2. Set Up a PostgreSQL Connection Using Docker (Optional) If you need a local PostgreSQL instance, you can set up one using Docker:
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bash
docker run -d --name prefect-postgres \
    -v prefectdb:/var/lib/postgresql/data \
    -p 5432:5432 \
    -e POSTGRES_USER=postgres \
    -e POSTGRES_PASSWORD=yourTopSecretPassword \
    -e POSTGRES_DB=prefect postgres:latest
#### 3. Using
SqlAlchemyConnector
in Prefect
Here's a complete example of how to use the
SqlAlchemyConnector
to interact with your PostgreSQL database:
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python
from prefect import flow, task
from prefect_sqlalchemy import SqlAlchemyConnector

@task
def setup_table(block_name: str) -> None:
    with SqlAlchemyConnector.load(block_name) as connector:
        connector.execute("CREATE TABLE IF NOT EXISTS customers (name varchar, address varchar);")
        connector.execute("INSERT INTO customers (name, address) VALUES (:name, :address);", parameters={"name": "Marvin", "address": "Highway 42"})
        connector.execute_many("INSERT INTO customers (name, address) VALUES (:name, :address);", seq_of_parameters=[{"name": "Ford", "address": "Highway 42"}, {"name": "Unknown", "address": "Highway 42"}])

@task
def fetch_data(block_name: str) -> list:
    all_rows = []
    with SqlAlchemyConnector.load(block_name) as connector:
        while True:
            new_rows = connector.fetch_many("SELECT * FROM customers", size=2)
            if len(new_rows) == 0:
                break
            all_rows.append(new_rows)
    return all_rows

@flow
def sqlalchemy_flow(block_name: str) -> list:
    setup_table(block_name)
    all_rows = fetch_data(block_name)
    return all

if __name__ == "__main__":
    sqlalchemy_flow("YOUR_BLOCK_NAME")
1. Create and Configure Blocks: Create a block in the Prefect UI with your PostgreSQL database credentials. 2. Run the Flow: Replace
YOUR_BLOCK_NAME
with the name of the block you've created in the Prefect UI. For further details, refer to the Prefect documentation: * Connecting to PostgreSQL * Prefect SQLAlchemy Integration Feel free to reach out if you have more questions!
v
Thanks for response @Marvin.. can you share me the example which is related to my use case with step by step process or any related videos if have..
m
Sure, here is a step-by-step guide tailored to your use case of creating a pipeline where both the source and destination are tables in the same PostgreSQL database using Prefect Cloud: ### Step-by-Step Process #### Step 1: Set Up PostgreSQL 1. Create a PostgreSQL Database using Docker: If you don't have an existing PostgreSQL database, you can set one up using Docker:
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bash
   docker run -d --name prefect-postgres \
       -v prefectdb:/var/lib/postgresql/data \
       -p 5432:5432 \
       -e POSTGRES_USER=postgres \
       -e POSTGRES_PASSWORD=yourTopSecretPassword \
       -e POSTGRES_DB=prefect postgres:latest
2. Set Up Prefect to Use Your PostgreSQL Database: Configure your Prefect profile to use the PostgreSQL database:
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bash
   prefect config set PREFECT_API_DATABASE_CONNECTION_URL="<postgresql+asyncpg://postgres:yourTopSecretPassword@localhost:5432/prefect>"
#### Step 2: Create a Database Block in Prefect UI 1. Log in to Prefect Cloud: Go to Prefect Cloud and log in to your account. 2. Create a New Block: - Navigate to the Blocks section. - Create a new SQLAlchemy block. - Provide the connection details for your PostgreSQL database:
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<postgres+asyncpg://postgres:yourTopSecretPassword@localhost:5432/your_database_name>
- Save the block with an identifiable name, such as
my-postgres-block
. #### Step 3: Write Your Prefect Flow Here's a detailed example of how to set up your pipeline using Prefect and SQLAlchemy:
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python
from prefect import flow, task
from prefect_sqlalchemy import SqlAlchemyConnector

@task
def setup_source_table(block_name: str) -> None:
    with SqlAlchemyConnector.load(block_name) as connector:
        connector.execute("CREATE TABLE IF NOT EXISTS source_table (id SERIAL PRIMARY KEY, name VARCHAR);")
        connector.execute("INSERT INTO source_table (name) VALUES ('item1'), ('item2'), ('item3');")

@task
def setup_destination_table(block_name: str) -> None:
    with SqlAlchemyConnector.load(block_name) as connector:
        connector.execute("CREATE TABLE IF NOT EXISTS destination_table (id SERIAL PRIMARY KEY, name VARCHAR);")

@task
def transfer_data(block_name: str) -> list:
    with SqlAlchemyConnector.load(block_name) as connector:
        data = connector.fetch_all("SELECT * FROM source_table;")
        for row in data:
            connector.execute("INSERT INTO destination_table (name) VALUES (:name);", parameters={"name": row['name']})
    return data

@flow
def postgres_pipeline(block_name: str):
    setup_source_table(block_name)
    setup_destination_table(block_name)
    transferred_data = transfer_data(block_name)
    print(f"Data transferred: {transferred_data}")

if __name__ == "__main__":
    postgres_pipeline("my-postgres-block")
### Step 4: Run Your Flow 1. Run the Flow Locally: Execute the script as a standard Python script to ensure everything works:
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bash
   python your_script_name.py
2. Deploy the Flow to Prefect Cloud: USe the following command to deploy to Prefect Cloud:
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python
   from prefect.deployments import Deployment

   deployment = Deployment.build_from_flow(
       flow=postgres_pipeline,
       name='postgres-pipeline-deployment'
   )

   deployment.apply()
### Reference Documentation Check out these links for more detailed instructions: - Prefect SQLAlchemy Integration - Host Quickstart Guide Feel free to consult the Prefect documentation or reach out for further assistance!
v
Thanks @Marvin i will try this one and reach to you if any concerns..🙂
m
You're welcome! Feel free to reach out if you have any questions or run into any issues. Good luck with your pipeline, and happy coding! 🙂
v
Hi @Marvin Good Morning...
m
Good morning! How can I assist you today? 🙂
v
i have created Secret and written a code of create table an d load the data into it but i am facing tthis issue ...
i am unable to find that where the issue exist it is in Secret which it created or code which i given written ...?
image.png
Hi @Marvin
m
Hello again! What can I help you with today? 🙂
v
HI @Marvin
m
Yes, hello! Is there something specific you need assistance with? 🙂
v
Can you help on how we can connect to Github .. I have been created blocks in prefect UI after that next step i have been stacked..? The actual scenario i am look for form Git hub need to create Pipeline in prefect
Hi
hi
hi