Expanding instructions

columnar-engine/README.md

@@ -1,5 +1,24 @@
-Schema and queries for Columnar Engine Benchmark.
+#  Schema and queries for Columnar Engine Benchmark.
+
+These queries will allows you to compare the performance of certain queries when using [Spanner columnar engine](https://docs.cloud.google.com/spanner/docs/columnar-engine?utm_campaign=CDR_0x6cb6c9c7_default&utm_medium=external&utm_source=blog)
+
+## Prerequisites
+- Provision a [new Spanner instance](https://console.cloud.google.com/spanner/instances/new?utm_campaign=CDR_0x6cb6c9c7_default&utm_medium=external&utm_source=blog) or use an existing one. The minimum edition should be [Enterprise Edition](https://docs.cloud.google.com/spanner/docs/editions-overviewhttps://docs.cloud.google.com/spanner/docs/columnar-engine?utm_campaign=CDR_0x6cb6c9c7_default&utm_medium=external&utm_source=blog).  
+- Download the CSV version of [this dataset](https://github.com/ClickHouse/ClickBench?tab=readme-ov-file#data-loading)
+- Download the [table schema](https://github.com/GoogleCloudPlatform/cloud-spanner-samples/blob/main/columnar-engine/benchmark-schema.sql)
+- A Google Cloud Storage bucket to upload the CSV file and the schema
+
+## Run the queries
+
+You can directly upload the CSV file to your Spanner instance through the **Import my own data**.
+
+1.   Extract and upload the CSV file into a GCS bucket 
+2.   Upload the schema into the GCS bucket
+3.   Follow the instructions from the **Import my own data** wizard
+
+![Import my own data](import_data.png)
+
+
+4.   Copy and paste the queries into Spanner Studio
 
-Dataset can be found in https://github.com/ClickHouse/ClickBench?tab=readme-ov-file#data-loading.
 
-Queries should run with one node regional Spanner instance on Enterprise Edition.