diff --git a/docs/src/guide/distributed_write.md b/docs/src/guide/distributed_write.md
index 34bc52562a5..a58aec9d5d7 100644
--- a/docs/src/guide/distributed_write.md
+++ b/docs/src/guide/distributed_write.md
@@ -166,4 +166,100 @@ Output:
 3    craig   55         5
 4     dave   66         4
 5      eve   77         3
-``` 
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+``` 
+
+## Update Columns
+
+Currently, Lance supports the fragment level update columns ability to update existing columns in a distributed manner.
+
+This operation performs a left-outer-hash-join with the right table (new data)
+on the column specified by `left_on` and `right_on`. For every row in the current
+fragment, the updated column value is:
+1. If no matched row on the right side, the column value of the left side row.
+2. If there is exactly one corresponding row on the right side, the column value
+   of the matching row.
+3. If there are multiple corresponding rows, the column value of a random row.
+
+```python
+import lance
+import pyarrow as pa
+
+# Create initial dataset with two fragments
+# First fragment
+data1 = pa.table(
+    {
+        "id": [1, 2, 3, 4],
+        "name": ["Alice", "Bob", "Charlie", "David"],
+        "score": [85, 90, 75, 80],
+    }
+)
+dataset_uri = "./my_dataset.lance"
+dataset = lance.write_dataset(data1, dataset_uri)
+
+# Second fragment
+data2 = pa.table(
+    {
+        "id": [5, 6, 7, 8],
+        "name": ["Eve", "Frank", "Grace", "Henry"],
+        "score": [88, 92, 78, 82],
+    }
+)
+dataset = lance.write_dataset(data2, dataset_uri, mode="append")
+
+# Prepare update data for fragment 0 using 'id' as join key
+update_data1 = pa.table(
+    {
+        "id": [1, 3],
+        "name": ["Alan", "Chase"],
+        "score": [95, 85],
+    }
+)
+
+# Prepare update data for fragment 1
+update_data2 = pa.table(
+    {
+        "id": [5, 7],
+        "name": ["Eva", "Gracie"],
+        "score": [98, 88],
+    }
+)
+
+# Update fragment 0
+fragment0 = dataset.get_fragment(0)
+updated_fragment0, fields_modified0 = fragment0.update_columns(
+    update_data1, left_on="id", right_on="id"
+)
+
+# Update fragment 1
+fragment1 = dataset.get_fragment(1)
+updated_fragment1, fields_modified1 = fragment1.update_columns(
+    update_data2, left_on="id", right_on="id"
+)
+
+union_fields_modified = list(set(fields_modified0 + fields_modified1))
+# Commit the changes for both fragments
+op = lance.LanceOperation.Update(
+    updated_fragments=[updated_fragment0, updated_fragment1],
+    fields_modified=union_fields_modified,
+)
+updated_dataset = lance.LanceDataset.commit(
+    str(dataset_uri), op, read_version=dataset.version
+)
+
+# Verify the update
+dataset = lance.dataset(dataset_uri)
+print(dataset.to_table().to_pandas())
+```
+
+Output:
+```
+   id    name  score
+0   1    Alan     95
+1   2     Bob     90
+2   3   Chase     85
+3   4   David     80
+4   5     Eva     98
+5   6   Frank     92
+6   7  Gracie     88
+7   8   Henry     82
+```
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