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| === JSONL export === | | === JSONL export === |
− | JSONL is a huge file! It's not possible to play with it with common editors or common tools. But there is some command line tools that allows interesting things, like [https://stedolan.github.io/jq/manual/v1.6/ jq]. | + | JSONL is a huge file! It's not possible to play with it with common editors or common tools. There is some command line tools that allows interesting things, like [https://duckdb.org/ DuckDB] or [https://stedolan.github.io/jq/manual/v1.6/ jq]. |
| + | |
| + | ==== DuckDB ==== |
| + | DuckDB recognizes the compressed JSONL file, there is no need to uncompress it. You can start playing with JSONL export with very few commands. |
| + | |
| + | At first create a DuckDB file: |
| + | $ duckdb off.db |
| + | Then you can start playing with SQL commands. |
| + | SELECT code, product_name, countries_en FROM read_ndjson('openfoodfacts-products.jsonl.gz', ignore_errors=True) |
| + | WHERE countries_en LIKE "%Germany%" LIMIT 10; |
| + | The advantages of DuckDB over the other solutions are that it is straightfoward and very fast. |
| + | |
| + | If you want to go further, you can check the [https://blog.openfoodfacts.org/en/news/food-transparency-in-the-palm-of-your-hand-explore-the-largest-open-food-database-using-duckdb-%f0%9f%a6%86x%f0%9f%8d%8a blog article from Jeremy Arancio]. |
| | | |
| ==== jq ==== | | ==== jq ==== |