Merge pull request #143 from ndudnicz/examples-movies

doc: add a new +19k movies example dataset

README.md

@@ -63,12 +63,11 @@ MeiliDB runs with an index like most search engines.
 So to test the library you can create one by indexing a simple csv file.
 
 ```bash
-cargo run --release --example create-database -- test.mdb misc/kaggle.csv --schema schema-example.toml
+cargo run --release --example create-database -- test.mdb examples/movies/movies.csv --schema examples/movies/schema-movies.toml
 ```
 
 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.
 
 ```bash
-cargo run --release --example query-database -- test.mdb -n 10 id title
-```
-
+cargo run --release --example query-database -- test.mdb -n 10 id title overview release_date
+```

examples/movies/README.md

@@ -0,0 +1 @@
+_datas in movies.csv are from https://www.themoviedb.org/_

examples/movies/schema-movies.toml

@@ -0,0 +1,21 @@
+# This schema has been generated ...
+# The order in which the attributes are declared is important,
+# it specify the attribute xxx...
+identifier = "id"
+
+[attributes.id]
+stored = true
+
+[attributes.title]
+stored = true
+indexed = true
+
+[attributes.overview]
+stored = true
+indexed = true
+
+[attributes.release_date]
+stored = true
+
+[attributes.poster]
+stored = true