From c921adfe32d2d1ced023d31ee7b94254ef4619b7 Mon Sep 17 00:00:00 2001
From: ByteBaker <42913098+ByteBaker@users.noreply.github.com>
Date: Thu, 16 Jul 2026 16:51:36 +0530
Subject: [PATCH] docs: add partitioned ClickBench SQL example

---
 benchmarks/README.md | 22 +++++++++++++++++-----
 1 file changed, 17 insertions(+), 5 deletions(-)

diff --git a/benchmarks/README.md b/benchmarks/README.md
index de69875a2ca5e..34c67e5151ba1 100644
--- a/benchmarks/README.md
+++ b/benchmarks/README.md
@@ -507,23 +507,35 @@ The runner applies two ClickBench-specific setup steps automatically:
   runner enables the parquet `binary_as_string` option so those columns
   are read as strings.
 
-If you set up ClickBench manually through SQL, use the same `EventDate`
-view pattern:
+If you set up ClickBench manually through SQL, register the single-file
+dataset as follows:
 
 ```sql
 CREATE EXTERNAL TABLE hits_raw
 STORED AS PARQUET
 LOCATION 'benchmarks/data/hits.parquet';
+```
+
+For the partitioned dataset, register the directory and enable
+`binary_as_string`:
+
+```sql
+CREATE EXTERNAL TABLE hits_raw
+STORED AS PARQUET
+LOCATION 'benchmarks/data/hits_partitioned'
+OPTIONS ('binary_as_string' 'true');
+```
+
+After registering either dataset as `hits_raw`, create the `hits` view with
+the required `EventDate` conversion:
 
+```sql
 CREATE VIEW hits AS
 SELECT * EXCEPT ("EventDate"),
        CAST(CAST("EventDate" AS INTEGER) AS DATE) AS "EventDate"
 FROM hits_raw;
 ```
 
-For the partitioned dataset, use `benchmarks/data/hits_partitioned` and
-add `OPTIONS ('binary_as_string' 'true')` to the external table statement.
-
 From the repository root, download data and run the default ClickBench
 queries against the single parquet file: