Move basic SQL query examples to user guide

datafusion-examples/README.md

@@ -36,9 +36,9 @@ cd datafusion
 # Download test data
 git submodule update --init
 
-# Run the `csv_sql` example:
+# Run the `dataframe` example:
 # ... use the equivalent for other examples
-cargo run --example csv_sql
+cargo run --example dataframe
 ```
 
 ## Single Process
@@ -47,10 +47,8 @@ cargo run --example csv_sql
 - [`advanced_udf.rs`](examples/advanced_udf.rs): Define and invoke a more complicated User Defined Scalar Function (UDF)
 - [`advanced_udwf.rs`](examples/advanced_udwf.rs): Define and invoke a more complicated User Defined Window Function (UDWF)
 - [`advanced_parquet_index.rs`](examples/advanced_parquet_index.rs): Creates a detailed secondary index that covers the contents of several parquet files
-- [`avro_sql.rs`](examples/avro_sql.rs): Build and run a query plan from a SQL statement against a local AVRO file
 - [`catalog.rs`](examples/catalog.rs): Register the table into a custom catalog
 - [`composed_extension_codec`](examples/composed_extension_codec.rs): Example of using multiple extension codecs for serialization / deserialization
-- [`csv_sql.rs`](examples/csv_sql.rs): Build and run a query plan from a SQL statement against a local CSV file
 - [`csv_sql_streaming.rs`](examples/csv_sql_streaming.rs): Build and run a streaming query plan from a SQL statement against a local CSV file
 - [`custom_datasource.rs`](examples/custom_datasource.rs): Run queries against a custom datasource (TableProvider)
 - [`dataframe-to-s3.rs`](examples/external_dependency/dataframe-to-s3.rs): Run a query using a DataFrame against a parquet file from s3 and writing back to s3
@@ -66,12 +64,11 @@ cargo run --example csv_sql
 - [`memtable.rs`](examples/memtable.rs): Create an query data in memory using SQL and `RecordBatch`es
 - [`optimizer_rule.rs`](examples/optimizer_rule.rs): Use a custom OptimizerRule to replace certain predicates
 - [`parquet_index.rs`](examples/parquet_index.rs): Create an secondary index over several parquet files and use it to speed up queries
-- [`parquet_sql.rs`](examples/parquet_sql.rs): Build and run a query plan from a SQL statement against a local Parquet file
 - [`parquet_sql_multiple_files.rs`](examples/parquet_sql_multiple_files.rs): Build and run a query plan from a SQL statement against multiple local Parquet files
 - [`parquet_exec_visitor.rs`](examples/parquet_exec_visitor.rs): Extract statistics by visiting an ExecutionPlan after execution
 - [`parse_sql_expr.rs`](examples/parse_sql_expr.rs): Parse SQL text into Datafusion `Expr`.
 - [`plan_to_sql.rs`](examples/plan_to_sql.rs): Generate SQL from Datafusion `Expr` and `LogicalPlan`
-- [`pruning.rs`](examples/parquet_sql.rs): Use pruning to rule out files based on statistics
+- [`pruning.rs`](examples/pruning.rs): Use pruning to rule out files based on statistics
 - [`query-aws-s3.rs`](examples/external_dependency/query-aws-s3.rs): Configure `object_store` and run a query against files stored in AWS S3
 - [`query-http-csv.rs`](examples/query-http-csv.rs): Configure `object_store` and run a query against files vi HTTP
 - [`regexp.rs`](examples/regexp.rs): Examples of using regular expression functions

datafusion/core/src/lib.rs

@@ -592,3 +592,9 @@ doc_comment::doctest!(
     "../../../docs/source/user-guide/example-usage.md",
     user_guid_example_tests
 );
+
+#[cfg(doctest)]
+doc_comment::doctest!(
+    "../../../docs/source/library-user-guide/using-the-sql-api.md",
+    library_user_guide_example_usage
+);