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Author: ongchi

docs/source/library-user-guide/adding-udfs.md

@@ -23,11 +23,11 @@ User Defined Functions (UDFs) are functions that can be used in the context of D
 
 This page covers how to add UDFs to DataFusion. In particular, it covers how to add Scalar, Window, and Aggregate UDFs.
 
-| UDF Type  | Description                                                                                                | Example                                                                |
-| --------- | ---------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------- |
-| Scalar    | A function that takes a row of data and returns a single value.                                            | [simple_udf.rs](../../../datafusion-examples/examples/simple_udf.rs)   |
-| Window    | A function that takes a row of data and returns a single value, but also has access to the rows around it. | [simple_udwf.rs](../../../datafusion-examples/examples/simple_udwf.rs) |
-| Aggregate | A function that takes a group of rows and returns a single value.                                          | [simple_udaf.rs](../../../datafusion-examples/examples/simple_udaf.rs) |
+| UDF Type  | Description                                                                                                | Example                                                                                                            |
+| --------- | ---------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------ |
+| Scalar    | A function that takes a row of data and returns a single value.                                            | [simple_udf.rs](https://github.com/apache/arrow-datafusion/blob/main/datafusion-examples/examples/simple_udf.rs)   |
+| Window    | A function that takes a row of data and returns a single value, but also has access to the rows around it. | [simple_udwf.rs](https://github.com/apache/arrow-datafusion/blob/main/datafusion-examples/examples/simple_udwf.rs) |
+| Aggregate | A function that takes a group of rows and returns a single value.                                          | [simple_udaf.rs](https://github.com/apache/arrow-datafusion/blob/main/datafusion-examples/examples/simple_udaf.rs) |
 
 First we'll talk about adding an Scalar UDF end-to-end, then we'll talk about the differences between the different types of UDFs.
 

docs/source/library-user-guide/catalogs.md

@@ -19,7 +19,7 @@
 
 # Catalogs, Schemas, and Tables
 
-This section describes how to create and manage catalogs, schemas, and tables in DataFusion. For those wanting to dive into the code quickly please see the [example](../../../datafusion-examples/examples/catalog.rs).
+This section describes how to create and manage catalogs, schemas, and tables in DataFusion. For those wanting to dive into the code quickly please see the [example](https://github.com/apache/arrow-datafusion/blob/main/datafusion-examples/examples/catalog.rs).
 
 ## General Concepts
 

docs/source/library-user-guide/working-with-exprs.md

@@ -52,8 +52,8 @@ As the writer of a library, you may want to use or create `Expr`s to represent c
 
 There are also executable examples for working with `Expr`s:
 
-- [rewrite_expr.rs](../../../datafusion-examples/examples/catalog.rs)
-- [expr_api.rs](../../../datafusion-examples/examples/expr_api.rs)
+- [rewrite_expr.rs](https://github.com/apache/arrow-datafusion/blob/main/datafusion-examples/examples/rewrite_expr.rs)
+- [expr_api.rs](https://github.com/apache/arrow-datafusion/blob/main/datafusion-examples/examples/expr_api.rs)
 
 ## A Scalar UDF Example
 

docs/source/user-guide/example-usage.md

@@ -19,9 +19,9 @@
 
 # Example Usage
 
-In this example some simple processing is performed on the [`example.csv`](../../../datafusion/core/tests/data/example.csv) file.
+In this example some simple processing is performed on the [`example.csv`](https://github.com/apache/arrow-datafusion/blob/main/datafusion/core/tests/data/example.csv) file.
 
-Even [`more code examples`](../../../datafusion-examples) attached to the project
+Even [`more code examples`](https://github.com/apache/arrow-datafusion/tree/main/datafusion-examples) attached to the project
 
 ## Update `Cargo.toml`
 
@@ -119,7 +119,7 @@ unexpectedly.
 
 Please be aware that all identifiers are effectively made lower-case in SQL, so if your csv file has capital letters (ex: `Name`) you must put your column name in double quotes or the examples won't work.
 
-To illustrate this behavior, consider the [`capitalized_example.csv`](../../../datafusion/core/tests/data/capitalized_example.csv) file:
+To illustrate this behavior, consider the [`capitalized_example.csv`](https://github.com/apache/arrow-datafusion/blob/main/datafusion/core/tests/data/capitalized_example.csv) file:
 
 ## Run a SQL query against data stored in a CSV: