From 4c224e13199a5a2c6f982ac6cc795073bc09af95 Mon Sep 17 00:00:00 2001
From: dat-a-man <98139823+dat-a-man@users.noreply.github.com>
Date: Thu, 21 Mar 2024 06:52:34 +0000
Subject: [PATCH] Updated

---
 docs/website/docs/general-usage/incremental-loading.md | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/docs/website/docs/general-usage/incremental-loading.md b/docs/website/docs/general-usage/incremental-loading.md
index 28aadd4619..e3454bcef4 100644
--- a/docs/website/docs/general-usage/incremental-loading.md
+++ b/docs/website/docs/general-usage/incremental-loading.md
@@ -621,7 +621,7 @@ Let's take the following example to read incremental loading parameters from the
 1. In "config.toml", define the parameter `id_after` as follows:
    ```toml
    # Configuration snippet for an incremental resource
-   [incs.sources.pipeline.inc_res.id_after]
+   [incremental_source.sources.pipeline.generate_incremental_records.id_after]
    cursor_path = "idAfter"
    initial_value = 10
    ```
@@ -630,19 +630,18 @@ Let's take the following example to read incremental loading parameters from the
 1. The `id_after` parameter is defined as an incremental source, and its value is retrieved from the configuration using `dlt.config.value`.
    ```py
    @dlt.resource(table_name="incremental_records")
-   def inc_res(id_after: dlt.sources.incremental = dlt.config.value):
+   def generate_incremental_records(id_after: dlt.sources.incremental = dlt.config.value):
        for i in range(100):
            yield {"id": i, "idAfter": i, "name": "name-" + str(i)}
 
-
    pipeline = dlt.pipeline(
        pipeline_name="pipeline_with_incremental",
        destination="duckdb",
    )
 
-   pipeline.run(inc_res)
+   pipeline.run(generate_incremental_records)
    ```
-   The `inc_res` function generates a range of data, each item being a dictionary with keys `id`, `idAfter`, and `name`. The `idAfter` key is used by the incremental resource to track progress.
+   The `generate_incremental_records` function generates a range of data, each item being a dictionary with keys `id`, `idAfter`, and `name`. The `idAfter` key is used by the incremental resource to track progress.
 
 ## Doing a full refresh