From bb544239f0ca3bcd076cf2e93116b2747e289e10 Mon Sep 17 00:00:00 2001
From: Ajantha Bhat <ajanthabhat@gmail.com>
Date: Tue, 30 Jul 2024 23:25:02 +0530
Subject: [PATCH] Update README.md (#15)

matching the catalog name with the below spark sql example of "use polaris"
---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index c8494d910..44d6c7a46 100644
--- a/README.md
+++ b/README.md
@@ -169,10 +169,10 @@ $ export PRINCIPAL_TOKEN=ver:1-hint:1036-ETMsDgAAAY/GPANareallyverylongstringtha
 
 $ curl -i -X PUT -H "Authorization: Bearer $PRINCIPAL_TOKEN" -H 'Accept: application/json' -H 'Content-Type: application/json' \
   http://${POLARIS_HOST:-localhost}:8181/api/v1/catalogs \
-  -d '{"name": "snowflake", "id": 100, "type": "INTERNAL", "readOnly": false}'
+  -d '{"name": "polaris", "id": 100, "type": "INTERNAL", "readOnly": false}'
 ```
 
-This creates a catalog called `snowflake`. From here, you can use Spark to create namespaces, tables, etc.
+This creates a catalog called `polaris`. From here, you can use Spark to create namespaces, tables, etc.
 
 You must run the following as the first query in your spark-sql shell to actually use Polaris: