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Before you start, ensure you have ClickHouse installed and running. You can download ClickHouse from the official website and follow the installation instructions for your operating system.
- Install ClickHouse: Follow the installation instructions for your specific platform: https://clickhouse.com/docs/en/getting-started/install/
- Start ClickHouse Server: Typically, after installation, you can start ClickHouse using service or systemctl commands, depending on your system.
- Access ClickHouse Client: Use the ClickHouse client to connect to your ClickHouse server. You can usually do this by typing clickhouse-client in your terminal.
- Create a Database: Once connected, create a new database for your exchange rate data:
CREATE DATABASE exchange_rates; - Create a Table: Define a table schema that matches the data you will retrieve from the exchange rates API:
USE exchange_rates;
CREATE TABLE rates (
date Date,
currency_code String,
rate Float64
) ENGINE = MergeTree()
PARTITION BY toYYYYMM(date)
ORDER BY (currency_code, date);
Write a script in a language of your choice (e.g., Python) to fetch data from the exchange rates API.
- Choose a Programming Language: Python is a popular choice due to its simplicity and the availability of libraries for HTTP requests and data manipulation.
- Write a Script to Fetch Data:
import requests
import datetime
# Replace with the actual API endpoint and your API key if necessary
url = "https://api.exchangeratesapi.io/latest"
# Make a GET request to the API
response = requests.get(url)
data = response.json()
# Extract the rates and base currency
base_currency = data['base']
rates = data['rates']
date = datetime.datetime.strptime(data['date'], '%Y-%m-%d').date()
# Prepare the data for insertion into ClickHouse
rows_to_insert = [(date, currency, rate) for currency, rate in rates.items()]
Continue the script to insert data into ClickHouse.
- Install ClickHouse Driver: Install a ClickHouse driver for your chosen programming language. For Python, you can use clickhouse-driver:
pip install clickhouse-driver - Connect to ClickHouse:
from clickhouse_driver import Client
client = Client('localhost') - Insert Data into ClickHouse:
# Insert data into the rates table
client.execute('INSERT INTO exchange_rates.rates (date, currency_code, rate) VALUES', rows_to_insert)
To keep your ClickHouse database updated, you can automate the data fetching and insertion process.
- Schedule the Script: Use a scheduler like cron (on Unix-based systems) or Task Scheduler (on Windows) to run your script at regular intervals.
- Error Handling: Enhance your script with error handling to manage potential issues with the API or database connections.
- Logging: Implement logging to track the script’s execution history and any errors that occur.
Finally, test your entire setup to ensure it works as expected and monitor the system for any issues.
- Test the Script: Run the script manually to verify that data is correctly fetched from the API and inserted into ClickHouse.
- Monitor ClickHouse: Use ClickHouse monitoring tools or build your own monitoring checks to ensure the database is performing well and the data is up-to-date.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Used by tens of thousands of developers, Exchange Rates API provides accurate and reliable currency data instantly through its free, simple-to-use API interface. With more than 10 years of exceptional API uptime and support, developers trust Exchange Rates API to provide fast and accurate conversion rates for 160 different currencies as well as essential stock market data in JSON format. They have worked hard to achieve their mission of building a remarkably hardware efficient and reliable currency converter API.
Exchange Rates API provides access to various types of data related to currency exchange rates. The API offers real-time and historical exchange rates for over 170 currencies, including cryptocurrencies. The following are the categories of data that the Exchange Rates API provides:
• Real-time exchange rates: The API provides real-time exchange rates for various currencies, which are updated every minute.
• Historical exchange rates: The API offers historical exchange rates for up to 10 years, allowing users to analyze trends and patterns in currency exchange rates.
• Currency conversion: The API allows users to convert one currency to another using the latest exchange rates.
• Time-series data: The API provides time-series data for exchange rates, allowing users to track changes in exchange rates over time.
• Currency metadata: The API provides metadata for various currencies, including their names, symbols, and ISO codes.
• Cryptocurrency data: The API provides real-time exchange rates for various cryptocurrencies, including Bitcoin, Ethereum, and Litecoin.
Overall, the Exchange Rates API provides a comprehensive set of data related to currency exchange rates, making it a valuable resource for businesses and individuals who need to track currency exchange rates.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Used by tens of thousands of developers, Exchange Rates API provides accurate and reliable currency data instantly through its free, simple-to-use API interface. With more than 10 years of exceptional API uptime and support, developers trust Exchange Rates API to provide fast and accurate conversion rates for 160 different currencies as well as essential stock market data in JSON format. They have worked hard to achieve their mission of building a remarkably hardware efficient and reliable currency converter API.
ClickHouse is an open-source, column-oriented OLAP database management system that allows users to generate analytical reports using SQL queries. Also offered as a secure and scalable service in the cloud, ClickHouse Cloud allows anyone to effortlessly take advantage of efficient real time analytical processing.
1. Go to the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
2. Click on the "Create a new source" button and select "Exchange Rates API" from the list of available connectors.
3. Enter a name for your source and click on "Next".
4. Enter your Exchange Rates API access key in the "API Key" field.
5. Select the base currency you want to use for your exchange rates in the "Base Currency" field.
6. Choose the frequency at which you want to update your exchange rates in the "Sync Frequency" field.
7. Click on "Test" to ensure that your credentials are correct and that the connection is successful.
8. If the test is successful, click on "Create" to save your source and start syncing your exchange rates data.
Note: You can also customize your source settings by selecting the tables you want to sync, setting up incremental sync, and adding filters to your data.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Ready to get started?
Frequently Asked Questions
Exchange Rates API provides access to various types of data related to currency exchange rates. The API offers real-time and historical exchange rates for over 170 currencies, including cryptocurrencies. The following are the categories of data that the Exchange Rates API provides:
• Real-time exchange rates: The API provides real-time exchange rates for various currencies, which are updated every minute.
• Historical exchange rates: The API offers historical exchange rates for up to 10 years, allowing users to analyze trends and patterns in currency exchange rates.
• Currency conversion: The API allows users to convert one currency to another using the latest exchange rates.
• Time-series data: The API provides time-series data for exchange rates, allowing users to track changes in exchange rates over time.
• Currency metadata: The API provides metadata for various currencies, including their names, symbols, and ISO codes.
• Cryptocurrency data: The API provides real-time exchange rates for various cryptocurrencies, including Bitcoin, Ethereum, and Litecoin.
Overall, the Exchange Rates API provides a comprehensive set of data related to currency exchange rates, making it a valuable resource for businesses and individuals who need to track currency exchange rates.