Fix issues causing GitHub checks to fail

Author: Sergey Zhukov

Cargo.lock

@@ -43,7 +43,6 @@ dashmap = { workspace = true }
 # note only use main datafusion crate for examples
 base64 = "0.22.1"
 datafusion = { workspace = true, default-features = true, features = ["parquet_encryption"] }
-datafusion-ffi = { workspace = true }
 datafusion-physical-expr-adapter = { workspace = true }
 datafusion-proto = { workspace = true }
 env_logger = { workspace = true }

datafusion-examples/Cargo.toml

@@ -32,10 +32,10 @@ use datafusion::{
 /// The code in this example shows how to:
 ///
 /// 1. [`simple_session_context_parse_sql_expr_demo`]: Parse a simple SQL text into a logical
-///   expression using a schema at [`SessionContext`].
+///    expression using a schema at [`SessionContext`].
 ///
 /// 2. [`simple_dataframe_parse_sql_expr_demo`]: Parse a simple SQL text into a logical expression
-///   using a schema at [`DataFrame`].
+///    using a schema at [`DataFrame`].
 ///
 /// 3. [`query_parquet_demo`]: Query a parquet file using the parsed_sql_expr from a DataFrame.
 ///

datafusion-examples/examples/query_planning/parse_sql_expr.rs

@@ -43,21 +43,21 @@ use std::sync::Arc;
 /// The code in this example shows how to:
 ///
 /// 1. [`simple_expr_to_sql_demo`]: Create a simple expression [`Exprs`] with
-///   fluent API and convert to sql suitable for passing to another database
+///    fluent API and convert to sql suitable for passing to another database
 ///
 /// 2. [`simple_expr_to_pretty_sql_demo`] Create a simple expression
-///   [`Exprs`] with fluent API and convert to sql without extra parentheses,
-///   suitable for displaying to humans
+///    [`Exprs`] with fluent API and convert to sql without extra parentheses,
+///    suitable for displaying to humans
 ///
 /// 3. [`simple_expr_to_sql_demo_escape_mysql_style`]" Create a simple
-///   expression [`Exprs`] with fluent API and convert to sql escaping column
-///   names in MySQL style.
+///    expression [`Exprs`] with fluent API and convert to sql escaping column
+///    names in MySQL style.
 ///
 /// 4. [`simple_plan_to_sql_demo`]: Create a simple logical plan using the
-///   DataFrames API and convert to sql string.
+///    DataFrames API and convert to sql string.
 ///
 /// 5. [`round_trip_plan_to_sql_demo`]: Create a logical plan from a SQL string, modify it using the
-///   DataFrames API and convert it back to a  sql string.
+///    DataFrames API and convert it back to a  sql string.
 ///
 /// 6. [`unparse_my_logical_plan_as_statement`]: Create a custom logical plan and unparse it as a statement.
 ///