How to load data from Polygon Stock API to Clickhouse
Learn how to use Airbyte to synchronize your Polygon Stock API data into Clickhouse within minutes.
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How to Sync to Manually
Step 1: Understand the Polygon Stock API
Start by reviewing the Polygon Stock API documentation to understand the endpoints, authentication methods, and data formats (typically JSON) available. Note down the endpoints that pertain to the stock data you want to extract. Ensure you have an API key and understand the rate limits imposed by the API.
Step 2: Set Up Your Local Environment
Prepare your local environment by installing necessary tools. You will need a programming language like Python or a command-line tool like `curl` to make HTTP requests. Ensure you have network access to both the Polygon API and your ClickHouse instance. Install the ClickHouse client for data insertion.
Step 3: Extract Data from Polygon API
Write a script or use a command-line tool to make HTTP GET requests to the Polygon API endpoints. Authenticate using your API key. Parse the JSON response to extract the data fields you need. Save this data to a local file or keep it in memory for immediate transformation.
Step 4: Transform Data for ClickHouse
Convert the extracted data into a format compatible with ClickHouse. ClickHouse typically accepts data in CSV, TSV, or native formats. Ensure your data is clean, with proper data types matching your ClickHouse table schema. Handle any necessary data transformations, such as date formatting or numerical conversions.
Step 5: Set Up ClickHouse Table
Create a table in ClickHouse that matches the schema of your transformed data. Use the ClickHouse client to define the table structure, specifying the appropriate data types and any necessary indices for efficient querying. Ensure your ClickHouse instance is running and accessible.
Step 6: Load Data into ClickHouse
Use the ClickHouse client to load data into your defined table. If you're using a CSV file, you can use the `clickhouse-client` to execute an `INSERT INTO` statement with a `FORMAT CSV` clause to read from the CSV file. For in-memory data, use similar commands to pass data directly to the ClickHouse client.
Step 7: Validate and Automate the Process
Confirm that the data has been loaded correctly by running queries against your ClickHouse table. Validate data integrity and completeness. Once satisfied, automate the process using a script or cron job to periodically extract, transform, and load data from the Polygon API to ClickHouse, ensuring you respect the API rate limits.
Following these steps will help you move data from the Polygon Stock API to a ClickHouse warehouse efficiently without relying on third-party connectors.