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doc: add a new +19k movies example dataset
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@ -63,12 +63,11 @@ MeiliDB runs with an index like most search engines.
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So to test the library you can create one by indexing a simple csv file.
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So to test the library you can create one by indexing a simple csv file.
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```bash
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```bash
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cargo run --release --example create-database -- test.mdb misc/kaggle.csv --schema schema-example.toml
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cargo run --release --example create-database -- test.mdb examples/movies/movies.csv --schema examples/movies/schema-movies.toml
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```
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```
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Once the command is executed, the index should be in the `test.mdb` folder. You are now able to run the `query-database` example and play with MeiliDB.
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Once the command is executed, the index should be in the `test.mdb` folder. You are now able to run the `query-database` example and play with MeiliDB.
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```bash
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```bash
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cargo run --release --example query-database -- test.mdb -n 10 id title
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cargo run --release --example query-database -- test.mdb -n 10 id title overview release_date
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```
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```
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1
examples/movies/README.md
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1
examples/movies/README.md
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@ -0,0 +1 @@
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_datas in movies.csv are from https://www.themoviedb.org/_
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19700
examples/movies/movies.csv
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19700
examples/movies/movies.csv
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File diff suppressed because it is too large
Load Diff
21
examples/movies/schema-movies.toml
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21
examples/movies/schema-movies.toml
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# This schema has been generated ...
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# The order in which the attributes are declared is important,
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# it specify the attribute xxx...
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identifier = "id"
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[attributes.id]
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stored = true
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[attributes.title]
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stored = true
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indexed = true
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[attributes.overview]
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stored = true
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indexed = true
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[attributes.release_date]
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stored = true
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[attributes.poster]
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stored = true
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