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packages/doc/blog/query-data-from-the-internet-and-deliver-apis-in-no-time.mdx

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@@ -35,8 +35,8 @@ and it currently supports RESTful APIs for the output part. As of the input, ple
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## The Input Part: Data Sources
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VulcanSQL aims to help data professionals create and deliver data APIs in an easy way!
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Originally, VulcanSQL supports data warehouses and some databases such as BigQuery,
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Snowflake, ClickHouse and PostgreSQL, etc. However, as we share VulcanSQL to the world
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Originally, VulcanSQL supports data warehouses and some databases such as [BigQuery](../docs/connectors/bigquery),
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[Snowflake](../docs/connectors/snowflake), [ClickHouse](../docs/connectors/clickhouse) and [PostgreSQL](../docs/connectors/postgresql), etc. However, as we share VulcanSQL to the world
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along the way, we figured out that there are also lots of data on the Internet that is not in databases
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such as CSV files or data that lives in other people's databases!
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### DuckDB and its httpfs extension
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In VulcanSQL, we can use [DuckDB](../docs/connectors/duckdb) as a caching layer to enhance query performance, or as a data connector.
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For those of you who may not familiar with DuckDB, it is a high performance in-process OLAP database,
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In VulcanSQL, we can use [DuckDB](../docs/connectors/duckdb) as a caching layer to [enhance query performance](./powering-rapid-data-apps-with-vulcansql), or as a data connector.
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For those of you who may not be familiar with DuckDB, it is a high performance in-process OLAP database,
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and has lots of extensions available! In order to get data from the Internet, VulcanSQL supports the httpfs extension!
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With the [httpfs extension](https://duckdb.org/docs/extensions/httpfs.html), now VulcanSQL can query CSV, JSON and Parquet files from the Internet!
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Imagine now you find some interesting dataset on the Internet, and it's a CSV file! Now you can directly query them
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Imagine now you find some interesting dataset on the Internet, and it's a CSV file! Now you can directly query it
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like the following SQL statement, then you can do some data transformation using SQL, and deliver APIs right away to share with others!
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```sql
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FROM 'https://www.stats.govt.nz/assets/Uploads/Annual-enterprise-survey/Annual-enterprise-survey-2021-financial-year-provisional/Download-data/annual-enterprise-survey-2021-financial-year-provisional-csv.csv'
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```
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The image below shows the data details using VulcanSQL's [API Catalog feature](../docs/catalog/intro)
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![vulcansql-httpfs](./static/query-data-from-the-internet-and-deliver-apis-in-no-time/vulcansql-httpfs.png)
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If you would like to read the source code of the full example, please [check out here](https://github.com/Canner/vulcan-sql-examples/tree/main/read-data-from-internet)!
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### The API Extension
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Sometimes, you may find some interesting data behind RESTful APIs created by others. VulcanSQL now has [the API extension](../docs/extensions/api) that
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Sometimes, you may find some interesting data from RESTful APIs created by others. VulcanSQL now has [the API extension](../docs/extensions/api) that
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allows you to query data from 3rd parties using RESTful APIs!
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In the following example, we call the RESTful API to `https://dummyjson.com` and search their products with a query string!
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## Conclusion
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We hope this blog post demonstrates how VulcanSQL can help you query data from the Internet, thus you can create and deliver APIs in no time!
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We hope this blog post demonstrates how VulcanSQL can help you query data from the Internet, thus you can create and deliver APIs in no time!

packages/doc/blog/querying-your-data-easily-and-smartly-through-huggingface.mdx

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`huggingface_table_question_answering` and allows you to apply functions to variables using the
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pipe operator (`|`).
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**Sample 1 - send the data from the variable [`set` tag](https://www.notion.so/VulcanSQL-edb87d04de074125ab19275e6f63d844?pvs=21):**
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**Sample 1 - send the data from the variable `set` tag:**
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You could give the dataset with the **[`set` tag](https://www.notion.so/VulcanSQL-edb87d04de074125ab19275e6f63d844?pvs=21)**
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You could give the dataset with the **`set` tag**
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and give the question with the `query` field:
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```sql
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