Gutendex is a simple, self-hosted web API for serving book catalog information from Project Gutenberg, an online library of free ebooks.Gutendex. JSON web API for Project Gutenberg ebook metadata.Gutenberg can be a useful source of literature, but its large size makes it difficult to access and analyse it on a large scale. Gutendex downloads these files, stores their data in a database, and publishes the data in a simpler format. Gutendex uses Django to download catalog data and serve it in a simple JSON REST API.
TiDB is a distributed SQL database that is designed to handle large-scale online transaction processing (OLTP) and online analytical processing (OLAP) workloads. It is an open-source, cloud-native database that is built to be highly available, scalable, and fault-tolerant. TiDB uses a distributed architecture that allows it to scale horizontally across multiple nodes, while also providing strong consistency guarantees. It supports SQL and offers compatibility with MySQL, which makes it easy for developers to migrate their existing applications to TiDB. TiDB is used by companies such as Didi Chuxing, Mobike, and Meituan-Dianping to power their mission-critical applications.
1. First, navigate to the Gutendex source connector page on Airbyte.com.
2. Click on the "Create a new connection" button.
3. Enter a name for your connection and click "Next".
4. In the "Configure your Gutendex connection" section, enter your Gutendex API key and click "Test connection" to ensure that the credentials are correct.
5. Once the connection is successful, select the tables you want to replicate and click "Next".
6. In the "Configure replication frequency" section, select how often you want the data to be replicated and click "Next".
7. In the "Configure destination" section, select the destination where you want to replicate the data and click "Create connection".
8. Your Gutendex source connector is now connected and ready to replicate data to your chosen destination.
1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the TiDB destination connector and click on it.
4. You will be prompted to enter your TiDB database credentials, including the host, port, username, and password.
5. Once you have entered your credentials, click on the "Test" button to ensure that the connection is successful.
6. If the test is successful, click on the "Save" button to save your TiDB destination connector settings.
7. You can now use the TiDB destination connector to transfer data from your source connectors to your TiDB database.
8. To set up a data integration pipeline, navigate to the "Connections" tab on the left-hand side of the screen and create a new connection.
9. Select your TiDB destination connector as the destination and choose your source connector as the source.
10. Configure the settings for your data integration pipeline, including the frequency of data transfers and any data transformations that you want to apply.
11. Once you have configured your data integration pipeline, click on the "Save" button to save your settings.
12. Your data integration pipeline will now run automatically, transferring data from your source connectors to your TiDB database on a regular basis.
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!
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Frequently Asked Questions
Gutendex's API provides access to a vast collection of data related to books and literature. The following are the categories of data that can be accessed through the API:
1. Book metadata: This includes information about the book such as title, author, publisher, publication date, language, and genre.
2. Book content: The API provides access to the full text of the book, which can be used for text analysis and natural language processing.
3. Book covers: The API also provides access to book covers, which can be used for visual analysis and identification.
4. Book reviews: The API provides access to book reviews and ratings, which can be used for sentiment analysis and recommendation systems.
5. Book availability: The API provides information about the availability of the book in different formats such as e-book, audiobook, and print.
6. Book sales data: The API provides access to sales data for books, which can be used for market analysis and forecasting.
Overall, Gutendex's API provides a comprehensive set of data related to books and literature, which can be used for a wide range of applications in the publishing industry, academia, and beyond.